Research article Topical Sections

Algebraic structure of some complex intuitionistic fuzzy subgroups and their homomorphism

  • The complex fuzzy environment is an innovative tool to deal with fuzzy situations in different mathematical problems. Aiming at the concept of complex intuitionistic fuzzy subgroups, this paper has introduced cut-subsets of complex intuitionistic fuzzy sets, and studied the relationship among the cut-subsets and complex intuitionistic fuzzy subgroups, complex intuitionistic fuzzy Abel subgroups, and complex intuitionistic fuzzy cyclic subgroups. Further, we gave the left and right cosets of complex intuitionistic fuzzy subgroups, defined complex intuitionistic fuzzy normal subgroups, and discussed some of their algebraic properties. Based on this thought, we proposed a new concept of (α1,2,β1,2)-complex intuitionistic fuzzy subgroups, and proved that an (α1,2,β1,2)-complex intuitionistic fuzzy subgroup is a general form of every complex intuitionistic fuzzy subgroup. At the same time, (α1,2,β1,2)-complex intuitionistic fuzzy normal subgroups and their cosets were introduced. Finally, we established a general homomorphism of complex intuitionistic fuzzy subgroups, and studied the relationship between the image and pre-image of complex intuitionistic fuzzy subgroups and complex intuitionistic fuzzy normal subgroups, respectively, under group homomorphism.

    Citation: Zhuonan Wu, Zengtai Gong. Algebraic structure of some complex intuitionistic fuzzy subgroups and their homomorphism[J]. AIMS Mathematics, 2025, 10(2): 4067-4091. doi: 10.3934/math.2025189

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  • The complex fuzzy environment is an innovative tool to deal with fuzzy situations in different mathematical problems. Aiming at the concept of complex intuitionistic fuzzy subgroups, this paper has introduced cut-subsets of complex intuitionistic fuzzy sets, and studied the relationship among the cut-subsets and complex intuitionistic fuzzy subgroups, complex intuitionistic fuzzy Abel subgroups, and complex intuitionistic fuzzy cyclic subgroups. Further, we gave the left and right cosets of complex intuitionistic fuzzy subgroups, defined complex intuitionistic fuzzy normal subgroups, and discussed some of their algebraic properties. Based on this thought, we proposed a new concept of (α1,2,β1,2)-complex intuitionistic fuzzy subgroups, and proved that an (α1,2,β1,2)-complex intuitionistic fuzzy subgroup is a general form of every complex intuitionistic fuzzy subgroup. At the same time, (α1,2,β1,2)-complex intuitionistic fuzzy normal subgroups and their cosets were introduced. Finally, we established a general homomorphism of complex intuitionistic fuzzy subgroups, and studied the relationship between the image and pre-image of complex intuitionistic fuzzy subgroups and complex intuitionistic fuzzy normal subgroups, respectively, under group homomorphism.



    Group theory is the most important branch of mathematics, which has a wide range of applications in algebraic geometry, theoretical physics, and cryptography. Fuzzy set theory provides a mathematical way to grasp the ambiguity associated with brain processes such as human intelligence and thinking. This theory also guides us to better solve our daily life problems through proper decision-making procedures. Zadeh [1] proposed the concept of fuzzy sets in 1965. Rosenfeld [2] developed the connection between group theory and fuzzy sets and proposed the theory of fuzzy subgroups. In 1986, Atanassov [3] published his first article on intuitionistic fuzzy sets (IFSs). Biswas [4] introduced the algebraic structure of intuitionistic fuzzification and proposed the concept of intuitionistic fuzzy subgroups (IFSGs). Further, the development of IFSGs can be seen in [5,6,7,8,9,10]. In addition, along with the uncertainty and ambiguity of data in our daily lives, the process change periodicity of data also arises. Therefore, the current theory is not enough to take information into account, so there is information loss during processing. To solve this problem, Ramot et al. [11] proposed complex fuzzy sets that extend the range of membership functions from real numbers to complex numbers with a unit disk. Since the complex fuzzy sets only consider the membership degree of the data entity, and do not consider the non-membership degree of the data entity, the non-membership degree also occupies the same position in the decision-making process of the evaluation system. Alkouri and Salleh [12] extended the definition of complex non-membership functions, and studied their basic properties. Thus, the complex intuitionistic fuzzy set (CIFS) was introduced, and the complex fuzzy set and the complex intuitionistic fuzzy set were combined. The complex intuitionistic fuzzy set can effectively handle uncertainty and fuzziness, providing more comprehensive and accurate decision support, especially in disease diagnosis in medical decision-making. It expresses the doctor's assessment of symptoms through membership and non-membership degrees, thereby helping doctors more accurately determine whether a patient has a certain disease. Suppose we have a patient, and the doctor needs to determine whether the patient has heart disease based on three symptoms: whether they have chest pain, whether they have difficulty breathing, and whether the electrocardiogram is abnormal. The doctor assesses each symptom based on their experience and professional knowledge, and gives the membership and non-membership degree values, respectively. These values reflect the doctor's confidence in the correlation between each symptom and heart disease. Each symptom has a different importance in the diagnostic process, so weights need to be assigned. The doctor multiplies the membership and non-membership degree values of each symptom by the corresponding weight, and then adds the results to obtain the comprehensive membership and non-membership degrees. By comparing the two, it can be determined whether the patient has heart disease. The complex intuitionistic fuzzy set can more comprehensively express the doctor's assessment of symptoms, thereby improving the accuracy and reliability of the diagnosis. This method is particularly suitable for complex medical decision-making scenarios and can help doctors make more reasonable judgments in the face of uncertain information.

    In 2016, Alhusbann and Salleh [13] introduced the concept of complex fuzzy groups. A year later, Alsarahead and Ahmed [14,15,16] derived different concepts of complex fuzzy groups, complex fuzzy subgroups, and complex fuzzy soft subgroups from the Rosenfeld and Liu methods [2,17]. In 2021, Alolaiyan et al. [18] introduced (α,β)-complex fuzzy sets ((α,β)-CFSs) to represent (α,β)-complex fuzzy normal subgroups ((α,β)-CFNSGs). On this basis, in 2023, Doaa Al-Sharoa [19] extended it to subgroups of complex intuitionistic fuzzy sets (CIFSs), proposed (α1,2,β1,2)-complex intuitionistic fuzzy subgroups ((α1,2,β1,2)-CIFSGs), and proved their algebraic structure. In addition, the Lagrange theorem of (α1,2,β1,2)-CIFSGs was also deduced. At the same time, complex fuzzy subgroups were developed into complex intuitionistic fuzzy subgroups (CIFSGs). Therefore, in the field of complex numbers, Alhusban et al. [20,21] proposed the concepts of complex intuitionistic fuzzy groups (CIFGs) and complex intuitionistic fuzzy normal subgroups (CIFNSGs) in 2016 and 2017.

    In decision theory, how to effectively represent and deal with uncertain information is a key problem. In recent years, with the increasing demand of complex system and multi-source information fusion, the traditional uncertainty processing methods have gradually shown their limitations. In order to describe and deal with uncertainty more precisely, researchers begin to explore new theoretical frameworks and technical means. Among them, the theory of complex evidence, as a new method of uncertainty treatment, has gradually attracted attention. In 2020, Xiao [22] proposed a new theoretical framework for complex evidence, defining generalized belief functions and generalized likelihood functions that take into account not only the uncertainty of the evidence, but also the phase information of the evidence, thereby enabling a more comprehensive representation of uncertainty. In addition, in 2023, Xiao [23] proposed a new quantum X-entropy for measuring the uncertainty of generalized quantum mass functions. Quantum X-entropy takes into account not only the randomness of the quantum mass function, but also its structural properties, enabling a more comprehensive measure of uncertainty. In the same year, Xiao and Pedrycz [24] also designed a variety of multi-source quantum information fusion algorithms based on quantum mass function negation and applied them to pattern classification. These algorithms perform well in processing complex uncertain information and provide strong support for quantum decision-making. An important part of decision theory is multi-criteria decision-making.

    The main problem of the multi-criteria decision-making method is how to evaluate alternatives effectively under multi-criteria and select the best alternative from the alternative set. In 2015, J. Rezaei [25] proposed a new method for solving multi-criteria decision problems, the best-worst method. In 2022, S.P. Wan et al. [26] extended the best-worst approach to intuitionistic fuzzy environments to deal with multi-criteria decision problems with intuitionistic fuzzy preference relationships. In 2024, Dong and Wan [27] extended this method to interval-intuitionistic fuzzy environments, proposing a new interval-intuitional-fuzzy best-worst method that can effectively deal with multi-criteria decision problems while maintaining consistency. In the same year, Wan et al. [28] proposed a new intuitionistic fuzzy best-worst method to deal with group decision-making problems with intuitionistic fuzzy preference relations. Lu et al. [29] further developed an interactive iterative group decision-making method specifically for decision problems based on interval intuitionistic fuzzy preference relations. Wan et al. [30] proposed a new decision framework combining the trapezoidal cloud model and MULTIMOORA method to solve the routing problem of container multimodal transport. Recently, some researchers have begun to pay attention to rank-based methods of group consensus reaching. For example, in 2025, Wan et al. [31] proposed a dual-strategy consensus-reaching process based on probabilistic linguistic information to solve multi-criteria group decision-making problems. These studies lay a foundation for the application of fuzzy sets and intuitionistic fuzzy sets in algebraic structures. However, with the increase of complex information, if practical applications need to deal with more complex uncertainty problems, especially in scenarios where membership, non-membership, and periodicity characteristics need to be considered at the same time, more powerful tools are needed to deal with such information. Inspired by the above, this paper further extends the theoretical framework of complex intuitionistic fuzzy sets in algebraic structures by studying the concept of cut sets of CIFSGs and giving a new definition of (α1,2,β1,2)-CIFSGs, so as to deal with complex information better. Therefore, the main contributions of this paper can be summarized as follows:

    ● Based on the existing theoretical knowledge of CIFSGs and CIFNSGs, the cut set of a CIFSG is defined, and the relationships between the cut set and complex intuitionistic fuzzy subgroup, complex intuitionistic fuzzy Abelian subgroup, and complex intuitionistic fuzzy cyclic subgroup are studied. At the same time, the CIFNSG is combined with the conjugate class of the group.

    ● A new concept of an (α1,2,β1,2)-CIFSG is presented, and the proposed theory is applied to medical decision-making.

    ● The relationships between the image and the inverse image of complex intuitionistic fuzzy subgroups and complex intuitionistic fuzzy normal subgroups are studied, respectively, under group homomorphism, and some examples are given to illustrate.

    We organize this article as follows. In Section 2, we first introduce some basic concepts and some important properties required for this article. In Section 3, the concepts of CIFSGs and their cut-subsets are introduced, and the relationship between the cut-subsets and some CIFSGs are studied. In Section 4, based on the left and right cosets of CIFSGs, the definition of CIFNSGs is proposed, and some of their algebraic properties are discussed. On this basis, a new concept of (α1,2,β1,2) -CIFSGs is proposed in Section 5, which shows that an (α1,2,β1,2)-CIFSG is a general form of every CIFSG. At the same time, (α1,2,β1,2)-complex intuitionistic fuzzy normal subgroups ((α1,2,β1,2)-CIFNSGs) and their cosets are introduced. Finally, in Section 6, we establish a general homomorphism about CIFSGs, and prove that the homomorphism image and the pre-image of CIFSGs are still CIFSGs, and the homomorphism image and the pre-image of CIFNSGs are still CIFNSGs.

    In this section, we recall the basic definitions and related notions used in the paper.

    Definition 2.1. [32] We say that a nonempty set G forms a group for an algebraic operation called multiplication, if

    (1) G is called for this multiplication;

    (2) The associative law is true: a(bc)=(ab)c. It is true for any three elements a,b,c of G;

    (3) There is at least one left identity element e in G that holds ea=a. It is true for any element a of G;

    (4) For every element a of G, there is at least one left inverse a1 in G that holds a1a=e.

    Definition 2.2. [32] It is necessary and sufficient for a nonempty subset H of the group G to be a subgroup of G:

    (1) a,bHabH.

    (2) aHa1H.

    In other words, the following (3) is equivalent to (1) and (2).

    (3) a,bHab1H.

    Definition 2.3. [3] An IFS A of the universe of discourse U is of the form

    A={x,ψA(x),ϑA(x)|xU},

    where ψA(x) and ϑA(x) provide the membership function and non-membership function of A, respectively, and 0ψA(x)+ϑA(x)1, for all xU.

    Definition 2.4. [4] If an IFS A of the group G satisfies the following conditions, then A is called an IFSG of the group G.

    (1) ψA(xy)min{ψA(x),ψA(y)};

    (2) ψA(x1)ψA(x);

    (3) ϑA(xy)max{ϑA(x),ϑA(y)};

    (4) ϑA(x1)ϑA(x), for all x,yG.

    Definition 2.5. [12] A CIFS A is defined by A={x,μA(x),νA(x)|xU}, where the membership function μA(x)=ηA(x)eiφA(x) is defined as μA(x):U{z|zC,|z1}, and the non-membership function νA(x)=rA(x)eisA(x) is defined as νA(x):U{z|zC,|z1}, where |μA(x)+νA(x)|1 and i=1, each of ηA(x), rA(x) belong to [0,1], such that 0ηA(x)+rA(x)1, and φA(x) and sA(x) are real-valued, 0φA(x)+sA(x)2π.

    Definition 2.6. [33] Suppose that A and B are two CIFSs on the domain U, where μA(x)=ηA(x)eiφA(x), μB(x)=ηB(x)eiφB(x), νA(x)=rA(x)eisA(x), νB(x)=rB(x)eisB(x) are their membership functions and non-membership functions, respectively. Then the complex intuitionistic fuzzy Cartesian product of A and B is defined as:

    A×B={x,μA×B(x),νA×B(x)|xU},

    where

    μA×B(x)=ηA×B(x)eiφA×B(x)=min{ηA(x),ηB(x)}eimin{φA(x),φB(x)},νA×B(x)=rA×B(x)eisA×B(x)=max{rA(x),rB(x)}eimax{sA(x),sB(x)}.

    In this section, we review the definition of CIFSGs and prove that the Cartesian product of two CIFSGs is still a CIFSG. At the same time, we describe the cut sets of CIFSGs, and discuss the relationship between the cut sets and CIFSGs, complex intuitionistic fuzzy Abel subgroups (CIFASGs), and complex intuitionistic fuzzy cyclic subgroups (CIFCSGs).

    Definition 3.1. [21] If a CIFS A={x,μA(x),νA(x)|xU} of the group G, it is expressed as: μA(x)=ηA(x)eiφA(x), νA(x)=rA(x)eisA(x). Then, if the following four conclusions are satisfied, A is called a CIFSG of the group G.

    (1) ηA(xy)eiφA(xy)min{ηA(x),ηA(y)}eimin{φA(x),φA(y)};

    (2) ηA(x1)eiφA(x1)ηA(x)eiφA(x);

    (3) rA(xy)eisA(xy)max{rA(x),rA(y)}eimax{sA(x),sA(y)};

    (4) rA(x1)eisA(x1)rA(x)eisA(x), for all x,yG.

    Remark 3.1. If A is a CIFSG of the group G, for any x,yG, then,

    ηA(x1y)eiφA(x1y)min{ηA(x)eiφA(x),ηA(y)eiφA(y)},
    rA(x1y)eisA(x1y)max{rA(x)eisA(x),rA(y)eisA(y)}.

    Theorem 3.1. The Cartesian product of two CIFSGs of the group G is still a CIFSG.

    Proof: Suppose A and B are two CIFSGs of the group G. Then,

    μA×B(xy)=ηA×B(xy)eiφA×B(xy)min{ηA×B(x),ηA×B(y)}eimin{φA×B(x),φA×B(y)}=min{ηA×B(x)eiφA×B(x),ηA×B(y)eiφA×B(y)}=min{μA×B(x),μA×B(y)},μA×B(x1)=ηA×B(x1)eiφA×B(x1)ηA×B(x)eiφA×B(x)=μA×B(x),νA×B(xy)=rA×B(xy)eisA×B(xy)max{rA×B(x),rA×B(y)}eimax{sA×B(x),sA×B(y)}=max{rA×B(x)eisA×B(x),rA×B(y)eisA×B(y)}=max{νA×B(x),νA×B(y)},νA×B(x1)=rA×B(x1)eisA×B(x1)rA×B(x)eisA×B(x)=νA×B(x).

    Definition 3.2 [33] Let A={x,μA(x),νA(x)|xU} be a CIFS on the domain U. For all ρ,λ[0,1] and θ,δ[0,2π], the cut-subset of the CIFS A is defined as:

    A(λ,δ)(ρ,θ)={xU:ηA(x)ρ,φA(x)θ,rA(x)λ,sA(x)δ}.

    When the phase item φA(x)=sA(x)=0, CIFSs degenerate to IFSs. For θ=δ=0, we obtain the cut-subset Aλρ={xU:ηA(x)ρ,rA(x)λ} and for ρ=λ=0, Aδθ={xU:φA(x)θ,sA(x)δ}.

    Theorem 3.2. A is a CIFSG of the group G if and only if A(λ,δ)(ρ,θ) is a subgroup of the group G.

    Proof: Let A be a CIFSG of the group G. Then, A(λ,δ)(ρ,θ) satisfies

    ηA(x)ρ,φA(x)θ,rA(x)λ,sA(x)δ,

    and, apparently, e is the identity of A(λ,δ)(ρ,θ) and makes it non-empty. Let x, y be any two elements of A(λ,δ)(ρ,θ). Then,

    ηA(x)ρ,φA(x)θ,rA(x)λ,sA(x)δ,
    ηA(y)ρ,φA(y)θ,rA(y)λ,sA(y)δ,
    ηA(xy)eiφA(xy)=μA(xy)min{μA(x),μA(y)}=min{ηA(x)eiφA(x),ηA(y)eiφA(y)}=min{ηA(x),ηA(y)}eimin{φA(x),φA(y)},

    and further

    ηA(xy)min{ηA(x),ηA(y)}min{ρ,ρ}=ρ,φA(xy)min{φA(x),φA(y)}min{θ,θ}=θ.

    Thus, ηA(xy)ρ, φA(xy)θ.

    rA(xy)eisA(xy)=νA(xy)max{νA(x),νA(y)}=max{rA(x)eisA(x),rA(y)eisA(y)}=max{rA(x),rA(y)}eimax{sA(x),sA(y)},

    and further

    rA(xy)max{rA(x),rA(y)}max{λ,λ}=λ,
    sA(xy)max{sA(x),sA(y)}max{δ,δ}=δ.

    Thus, rA(xy)λ, sA(xy)δ, and we prove xyA(λ,δ)(ρ,θ). Here we prove x1A(λ,δ)(ρ,θ) in the same way:

    ηA(x1)eiφA(x1)=μA(x1)μA(x)=ηA(x)eiφA(x),

    this is to say, ηA(x1)ηA(x)ρ, φA(x1)φA(x)θ. For the same reason,

    rA(x1)sA(x1)=νA(x1)νA(x)=rA(x)eisA(x),

    and thus, rA(x1)rA(x)λ, sA(x1)sA(x)δ. To sum up, ηA(x1)ρ, φA(x1)θ, rA(x1)λ, sA(x1)δ, and therefore, x1A(λ,δ)(ρ,θ). Hence, A(λ,δ)(ρ,θ) is a subgroup of the group G. The proof is complete.

    Example 3.1. Let group G={e,a,b,c}, where e is the identity element, and A is a CIFSG of G, A={x,μA(x),νA(x)xG}, where μA(x)=ηA(x)eiφA(x), νA(x)=rA(x)eisA(x). For any elements of group G, the membership and non-membership are defined as follows:

    μA(e)=0.8ei0.4π,μA(a)=0.6ei0.3π,μA(b)=0.4ei0.3π,μA(c)=0.2ei0.4π,
    νA(e)=0.8ei0.1π,νA(a)=0.2ei0.1π,νA(b)=0.3ei0.2π,νA(c)=0.4ei0.3π.

    For any ρ,η[0,1],θ,δ[0,2π], the cut set of A is A(λ,δ)(ρ,θ), where

    A(λ,δ)(ρ,θ)={xG:ηA(x)ρ,φA(x)θ,rA(x)λ,sA(x)δ}.

    Let ρ=0.5, θ=0.3π, λ=0.4, δ=0.2π, and then the cut set of A is A(0.4,0.2π)(0.5,0.3π),

    A(0.4,0.2π)(0.5,0.3π)={xG:ηA(x)0.5,φA(x)0.3π,rA(x)0.4,sA(x)0.2π}.

    We can see that the two elements e and a of the group G satisfy the cut set definition, i.e., A(0.4,0.2π)(0.5,0.3π)={e,a}, and by Definition 2.2, A(0.4,0.2π)(0.5,0.3π) is a subgroup of the group G.

    Lemma 3.1. The converse of Theorem 3.2 is also true, i.e., if A(λ,δ)(ρ,θ) is a subgroup of the group G, then A is a CIFSG of the group G.

    Theorem 3.3. Let A be a CIFSG of the group G. Then the cut-subsets Aλρ and Aδθ are two subgroups of the group G, for all ρ,λ[0,1] and θ,δ[0,2π], where e is an identity element of G.

    Proof: Note that Aλρ is nonempty, as eAλρ. Let x,y be two elements of the cut-subset Aλρ. Then,

    ηA(x)ρ,rA(x)λ,ηA(y)ρ,rA(y)λ.

    Since the equations μA(xy)=ηA(xy)eiφA(xy) and νA(xy)=rA(xy)eisA(xy) hold, we have

    ηA(xy)min{ηA(x),ηA(y)}min{ρ,ρ}=ρ,rA(xy)max{rA(x),rA(y)}max{λ,λ}=λ.

    Therefore, xyAλρ. Next, ηA(x1)ηA(x)ρ, rA(x1)rA(x)λ. Thus, Aλρ is a subgroup of G. Similarly, Aδθ is a subgroup of G. That proves the theorem.

    Theorem 3.4. Let A and B be two CIFSGs of two groups G1 and G2, respectively, for all ρ,λ[0,1] and θ,δ[0,2π], and then,

    (A×B)(λ,δ)(ρ,θ)=A(λ,δ)(ρ,θ)×B(λ,δ)(ρ,θ).

    Proof: Let (x,y)(A×B)(λ,δ)(ρ,θ). Then, we just need to prove (x,y)A(λ,δ)(ρ,θ)×B(λ,δ)(ρ,θ). If (x,y)(A×B)(λ,δ)(ρ,θ), then

    ηA×B(x,y)ρ,φA×B(x,y)θ,rA×B(x,y)λ,sA×B(x,y)δ.

    Thus,

    min{ηA(x),ηB(y)}ρ,min{φA(x),φB(y)}θ,
    max{rA(x),rB(y)}λ,max{sA(x),sB(y)}δ,
    ηA(x)ρ,ηB(y)ρ,φA(x)θ,φB(y)θ,
    rA(x)λ,rB(y)λ,sA(x)δ,sB(y)δ.

    If we reverse the order of the above formulas, we can get

    ηA(x)ρ,φA(x)θ,rA(x)λ,sA(x)δ,
    xA(λ,δ)(ρ,θ),
    ηB(y)ρ,φB(y)θ,rB(y)λ,sB(y)δ,
    yB(λ,δ)(ρ,θ).

    Then, we naturally get the following formula:

    (x,y)A(λ,δ)(ρ,θ)×B(λ,δ)(ρ,θ).

    Therefore, the conclusion is valid, that is

    (A×B)(λ,δ)(ρ,θ)=A(λ,δ)(ρ,θ)×B(λ,δ)(ρ,θ).

    Example 3.2. Let G1={e1,a1,b1},G2={e2,a2,b2}, where e1 and e2 are the identity elements of G1 and G2, respectively, and A and B are two CIFSGs of G1 and G2, respectively, where the membership and non-membership are defined as follows:

    μA(e1)=0.8ei0.4π,μA(a1)=0.6ei0.4π,μA(b1)=0.4ei0.3π,
    νA(e1)=0.1ei0.1π,νA(a1)=0.2ei0.1π,νA(b1)=0.3ei0.2π,
    μB(e2)=0.7ei0.3π,μB(a2)=0.5ei0.3π,μB(b2)=0.3ei0.4π,
    νB(e2)=0.2ei0.1π,νB(a2)=0.3ei0.2π,νB(b2)=0.4ei0.3π,

    for any ρ,λ[0,1],θ,δ[0,2π]. By Definition 3.2, we have that the cut set of A is A(λ,δ)(ρ,θ) and the cut set of B is B(λ,δ)(ρ,θ). Let ρ=0.5, θ=0.3π, λ=0.4, δ=0.2π, and then,

    A(0.4,0.2π)(0.5,0.3π)={e1,a1},B(0.4,0.2π)(0.5,0.3π)={e2,a2}.

    By Definition 2.6, naturally, we get

    (A×B)(0.4,0.2π)(0.5,0.3π)={(e1,e2),(e1,a2),(a1,e2),(a1,a2)},

    and then, by the properties of Cartesian products, we can get

    A(0.4,0.2π)(0.5,0.3π)×B(0.4,0.2π)(0.5,0.3π)={e1,a1}×{e2,a2}={(e1,e2),(e1,a2),(a1,e2),(a1,a2)},

    and therefore,

    A(0.4,0.2π)(0.5,0.3π)×B(0.4,0.2π)(0.5,0.3π)=(A×B)(0.4,0.2π)(0.5,0.3π).

    Definition 3.3. Let A be a CIFSG of the group G. Then, A is called a CIFASG of G if A(λ,δ)(ρ,θ) is an Abel subgroup of G, for all ρ,λ[0,1] and θ,δ[0,2π].

    Remark 3.2. Every subgroup of an Abel group is also an Abel group.

    Theorem 3.5. If G is an Abel group, then every CIFSG of the group G is a CIFASG of the group G.

    Proof: Given that G is an Abel group, then xy=yx holds for all x,yG. Since A is a CIFSG of the group G, by Theorem 3.2, we obtain that A(λ,δ)(ρ,θ) is a subgroup of G. In the view of Remark 3.2, we know that A(λ,δ)(ρ,θ) is an Abel subgroup of G. By Definition 3.3, we conclude that A is a CIFASG of the group G.

    Remark 3.3. The converse of Theorem 3.5 is not necessarily true.

    Theorem 3.6. Let A and B be two CIFSGs of two groups G1 and G2, respectively. Then, A×B is a CIFASG of the group G1×G2 if and only if both A and B are two CIFASGs of two groups G1 and G2.

    Proof: Suppose that A and B are two CIFSGs of two groups G1 and G2, respectively. Then, A(λ,δ)(ρ,θ) and B(λ,δ)(ρ,θ) are two Abel subgroups of G1 and G2, respectively, for all ρ,θ[0,1] and λ,δ[0,2π], and A(λ,δ)(ρ,θ)×B(λ,δ)(ρ,θ) is an Abel subgroup of G1×G2. In view of Theorem 3.4, we have

    (A×B)(λ,δ)(ρ,θ)=A(λ,δ)(ρ,θ)×B(λ,δ)(ρ,θ).

    Therefore, (A×B)(λ,δ)(ρ,θ) is an Abel subgroup of G1×G2, for all ρ,θ[0,1] and λ,δ[0,2π]. A×B is a CIFASG of G1×G2. Conversely, let A×B be an Abel subgroup of G1×G2. Then, (A×B)(λ,δ)(ρ,θ) is an Abel subgroup of G1×G2. This implies that A(λ,δ)(ρ,θ)×B(λ,δ)(ρ,θ) is an Abel subgroup of G1×G2, and A(λ,δ)(ρ,θ) and B(λ,δ)(ρ,θ) are two Abel subgroups of G1×G2, respectively. Thus, A and B are two CIFSGs of two groups G1 and G2, respectively. Hence, the proof is complete.

    Definition 3.4. Let A be a CIFSG of the group G. Then A is called a CIFCSG of the group G, if A(λ,δ)(ρ,θ) is a cyclic group, for all ρ,θ[0,1] and λ,δ[0,2π].

    Remark 3.4. Every subgroup of a cyclic group is a cyclic group.

    Theorem 3.7. If G is a cyclic group, then every CIFSG of G is a CIFCSG of G.

    Proof: Given that G is a cyclic group. Let A be a CIFSG of the group G. By Theorem 3.2, we have that A(λ,δ)(ρ,θ) is a subgroup of G. In view of Remark 3.4, we know that A(λ,δ)(ρ,θ) is a cyclic subgroup of G. By Definition 3.4, we conclude that A is a CIFCSG of the group G. The converse of the above stated result is not necessarily true.

    In this section, we define the left and right cosets of CIFSGs, and then describe the representation of CIFNSGs. At the same time, some basic characteristics of CIFNSGs are discussed.

    Definition 4.1. [19] Let A be a CIFSG of the group G. Then the CIFS gA(x) of G is called a complex intuitionistic fuzzy left coset of G, where gA(x) is represented by A and g, for all x,gG, and we have

    gA(x)={x,ηgA(x)eiφgA(x),rgA(x)eisgA(x)|xG},
    ηgA(x)eiφgA(x)=ηA(g1x)eiφA(g1x),
    rgA(x)eisgA(x)=rA(g1x)eisA(g1x).

    Similarly, for all x,gG, we can define a complex intuitionistic fuzzy right coset and it is described as:

    Ag(x)={x,ηAg(x)eiφAg(x),rAg(x)eisAg(x)|xG},
    ηAg(x)eiφAg(x)=ηA(xg1)eiφA(xg1),
    rAg(x)eisAg(x)=rA(xg1)eisA(xg1).

    Definition 4.2 [32] Let G be a group. Then a subgroup A of the group G is a normal group if and only if xax1A, for all xG and aA.

    Definition 4.3 [19] Let A={x,μA(x),νA(x)|xU} be a CIFSG of the group G. Then A is called a CIFNSG if and only if μA(xy)=μA(yx) and νA(xy)=νA(yx). Or equivalently, A is called a CIFNSG of the group G if and only if μA(x1yx)=μA(y) and νA(x1yx)=νA(y), for all x,yG.

    Theorem 4.1. The intersection of two CIFNSGs of the group G is still a CIFNSG of the group G.

    Proof: Let A,B be two CIFNSGs of the group G. Then, for any x,yG, we have

    μA(xy)=μA(yx),νA(xy)=νA(yx),
    μB(xy)=μB(yx),νB(xy)=νB(yx).

    To prove that AB is a CIFNSG of the group G, we just have to prove μAB(xy)=μAB(yx), νAB(xy)=νAB(yx). Naturally, we can get

    μAB(xy)=ηAB(xy)eiφAB(xy)min{ηAB(x),ηAB(y)}eimin{φAB(x),φAB(y)}=min{ηAB(y),ηAB(x)}eimin{φAB(y),φAB(x)}=ηAB(yx)eiφAB(yx)=μAB(yx).

    Therefore, we can get μAB(xy)μAB(yx). Similarly, μAB(yx)μAB(xy), and thus, μAB(xy)=μAB(yx). By the same token, we have νAB(xy)=νAB(yx). Thus, AB is a CIFNSG of the group G.

    Example 4.1. Let G={e,a,b,c}, where e is the identity element, and A and B are two CIFNSGs of group G. For each element of the group G,

    μA(e)=0.8ei0.1π,νA(e)=0.1ei0.1π,μB(e)=0.7ei0.2π,νB(e)=0.2ei0.1π,
    μA(a)=0.6ei0.2π,νA(a)=0.2ei0.1π,μB(a)=0.5ei0.3π,νB(a)=0.3ei0.2π,
    μA(b)=0.4ei0.3π,νA(b)=0.3ei0.2π,μB(b)=0.3ei0.4π,νB(b)=0.4ei0.3π,
    μA(c)=0.2ei0.4π,νA(c)=0.4ei0.3π,μB(c)=0.1ei0.5π,νB(c)=0.5ei0.4π,
    μAB(e)=min{0.8ei0.1π,0.7ei0.2π}=0.7ei0.2π,
    νAB(e)=max{0.1ei0.1π,0.2ei0.1π}=0.2ei0.1π,
    μAB(a)=min{0.6ei0.2π,0.5ei0.3π}=0.5ei0.2π,
    νAB(a)=max{0.2ei0.1π,0.3ei0.3π}=0.3ei0.3π,
    μAB(b)=min{0.4ei0.3π,0.3ei0.4π}=0.3ei0.3π,
    νAB(b)=max{0.3ei0.2π,0.4ei0.3π}=0.4ei0.3π,
    μAB(c)=min{0.2ei0.4π,0.1ei0.5π}=0.1ei0.4π,
    νAB(c)=max{0.4ei0.3π,0.5ei0.4π}=0.5ei0.4π.

    On account of A and B both being CIFNSGs, for any x,yG, they satisfy

    μA(xy)=μA(yx),νA(xy)=νA(yx),μB(xy)=μB(yx),νB(xy)=νB(yx).

    Through the above calculation, it is easy to know that the membership degree and non-membership degree of AB also satisfy the above conditions, so the intersection is still a CIFNSG.

    Theorem 4.2. Let A be a CIFSG of the group G. Then, A is a CIFNSG if and only if A is constant in the conjugate class of the group G.

    Proof: Suppose that A is a CIFNSG. Then for a conjugate x of the group G, for all x,yG, we get

    ηA(y1xy)eiφA(y1xy)=ηA(xyy1)eiφA(xyy1)=ηA(x)eiφA(x),rA(y1xy)eisA(y1xy)=rA(xyy1)eisA(xyy1)=rA(x)eisA(x).

    Conversely, suppose that A is constant in all conjugate classes of the group G. For all x,yG, we have

    ηA(xy)eiφA(xy)=ηA(xyxx1)eiφA(xyxx1)=ηA(x(yx)x1)eiφA(x(yx)x1)=ηA((x1)1(yx)x1)eiφA((x1)1(yx)x1)=ηA(yx)eiφA(yx),rA(xy)eisA(xy)=rA(xyxx1)eisA(xyxx1)=rA(x(yx)x1)eisA(x(yx)x1)=rA((x1)1(yx)x1)eisA((x1)1(yx)x1)=rA(yx)eisA(yx).

    Theorem 4.3. If A is a CIFSG of the group G, for all x,yG, then,

    (1) ηA(y)eiφA(y)ηA(e)eiφA(e);

    (2) ηA(x1y)eiφA(x1y)=ηA(e)eiφA(e);

    (3) rA(y)eisA(y)rA(e)eisA(e);

    (4) rA(x1y)eisA(x1y)=rA(e)eisA(e);

    which implies that ηA(x)eiφA(x)=ηA(y)eiφA(y) and rA(x)eisA(x)=rA(y)eisA(y).

    Theorem 4.4. Let A be a complex intuitionistic fuzzy subgroupoid of a finite group G. Then, A is a CIFSG of the finite group G.

    Proof: Let G be a finite group. For any xG, we have xn=e, where x has finite order, and e is the natural element of the group G. Then, we have x1=xn1.

    ηA(x1)eiφA(x1)=ηA(xn1)eiφA(xn1)=ηA(xn2x)eiφA(xn2x)ηA(x)eiφA(x),rA(x1)eisA(x1)=rA(xn1)eisA(xn1)=rA(xn2x)eisA(xn2x)rA(x)eisA(x),

    and, naturally, we get that the theorem is true.

    Theorem 4.5. If A is a CIFSG of the group G, for all xG, we have

    ηA(x)eiφA(x)=ηA(e)eiφA(e),rA(x)eisA(x)=rA(e)eisA(e).

    Then, for all yG, the following formulas hold:

    ηA(xy)eiφA(xy)=ηA(y)eiφA(y),
    rA(xy)eisA(xy)=rA(y)eisA(y).

    Proof: Given that ηA(x)eiφA(x)=ηA(e)eiφA(e), then by Theorem 4.3, for all yG, we have

    ηA(y)eiφA(y)ηA(x)eiφA(x),
    ηA(xy)eiφA(xy)min{ηA(x)eiφA(x),ηA(y)eiφA(y)},
    ηA(xy)eiφA(xy)ηA(y)eiφA(y). (4.1)

    Now, assume

    ηA(y)eiφA(y)=ηA(x1xy)eiφA(x1xy)min{ηA(x1)eiφA(x1),ηA(xy)eiφA(xy)}min{ηA(x)eiφA(x),ηA(xy)eiφA(xy)}.

    Again, from Theorem 4.3, we have

    min{ηA(x)eiφA(x),ηA(xy)eiφA(xy)}=ηA(xy)eiφA(xy),

    and therefore, we obtain

    ηA(y)eiφA(y)ηA(xy)eiφA(xy). (4.2)

    From the Eqs (4.1) and (4.2), we have

    ηA(xy)eiφA(xy)=ηA(y)eiφA(y).

    Assume that rA(x)eisA(x)=rA(e)eisA(e), and then from Theorem 4.3, for all yG, we have

    rA(x)eisA(x)rA(y)eisA(y),
    rA(xy)eisA(xy)max{rA(x)eisA(x),rA(y)eisA(y)},
    rA(xy)eisA(xy)rA(y)eisA(y). (4.3)

    Now, assume

    rA(y)eisA(y)=rA(x1xy)eisA(x1xy)max{rA(x1)eisA(x1),rA(xy)eisA(xy)}max{rA(x)eisA(x),rA(xy)eisA(xy)}.

    Again, from Theorem 4.3, we have

    max{rA(x)eisA(x),rA(xy)eisA(xy)}=rA(xy)eisA(xy),

    and therefore, we obtain:

    rA(y)eisA(y)rA(xy)eisA(xy). (4.4)

    From the Eqs (4.3) and (4.4), we have

    rA(xy)eisA(xy)=rA(y)eisA(y).

    In this section, we propose a new concept of (α1,2,β1,2)-CIFSs, and then characterize (α1,2,β1,2)-CIFSGs and (α1,2,β1,2)-CIFNSGs, give the left and right cosets of (α1,2,β1,2)-CIFSGs, and prove that an (α1,2,β1,2)-CIFSG is a general form of every CIFSG.

    Definition 5.1. Let A={x,ηA(x)eiφA(x),rA(x)eisA(x)|xG} be a CIFS of the group G, for any α1,α2[0,1] and β1,β2[0,2π]. Then, the CIFS A(α1,2,β1,2) is an (α1,2,β1,2)-CIFS of the group G in regards to the CIFS A and it is defined as:

    ηAα1(x)eiφAβ1(x)=ηA(x)eiφA(x)α1eiβ1=max{0,ηA(x)+α11}eimax{0,φA(x)+β12π},
    rAα2(x)eisAβ2(x)=rA(x)eisA(x)α2eiβ2=min{1,rA(x)+α2}eimin{2π,sA(x)+β2}.

    Definition 5.2. [19] Let A(α1,2,β1,2) and B(α1,2,β1,2) be two (α1,2,β1,2)-CIFSs of the group G, and then

    (1) An (α1,2,β1,2)-CIFS A(α1,2,β1,2) is a homogeneous (α1,2,β1,2)-CIFS, if for all x,yG, we have ηAα1(x)ηAα1(y), rAα2(x)rAα2(y) if and only if φAβ1(x)φAβ1(y), sAβ2(x)sAβ2(y).

    (2) An (α1,2,β1,2)-CIFS A(α1,2,β1,2) is a homogeneous (α1,2,β1,2)-CIFS with B(α1,2,β1,2), if for all x,yG, we have ηAα1(x)ηBα1(y), rAα2(x)rBα2(y) if and only if φAβ1(x)φBβ1(y), sAβ2(x)sBβ2(y).

    Remark 5.1. All (α1,2,β1,2)-CIFSs used in this paper are homogeneous.

    Remark 5.2. If α1=α2=1 and β1=β2=2π in the above definition, (α1,2,β1,2)-CIFSs degenerate classical CIFSs.

    Lemma 5.1. Let A(α1,2,β1,2) and B(α1,2,β1,2) be two (α1,2,β1,2)-CIFSs of the group G. Then,

    (AB)(α1,2,β1,2)=A(α1,2,β1,2)B(α1,2,β1,2).

    Example 5.1. Consider a group of fourth-order Z4={0,1,2,3}. Let α1=0.7, α2=0.2, β1=0.8π, and β2=0.5π, and a CIFS A={0,0.8ei1.4π,0.1ei0.3π,1,0.6ei1.3π,0.7ei0.5π,2,0.4ei0.4π,0.7ei0.3π,3,0.7ei1.6π,0.1ei0.5π} of the group Z4. Then, the set A(α1,2,β1,2) is called an (α1,2,β1,2)-CIFS and it is defined as:

    A(α1,2,β1,2)={0,0.5ei0.2π,0.3ei0.8π,1,0.3ei0.1π,0.9eiπ,2,0.1ei0π,0.9ei0.8π,3,0.4ei0.4π,0.3eiπ}.

    Definition 5.3. [19] Let A(α1,2,β1,2) be an (α1,2,β1,2)-CIFS of the group G. For all α1,α2[0,1] and β1,β2[0,2π], then, A(α1,2,β1,2) is called an (α1,2,β1,2)-CIFSG of the group G if the following axioms hold:

    (1) ηAα1(xy)eiφAβ1(xy)min{ηAα1(x)eiφAβ1(x),ηAα1(y)eiφAβ1(y)},

    (2) ηAα1(x1)eiφAβ1(x1)ηAα1(x)eiφAβ1(x),

    (3) rAα2(xy)eisAβ2(xy)max{rAα2(x)eisAβ2(x),rAα2(y)eisAβ2(y)},

    (4) rAα2(x1)eisAβ2(x1)rAα2(x)eisAβ2(x).

    The following (5) and (6) are equivalent to (1), (2), (3), and (4),

    (5) ηAα1(x1y)eiφAβ1(x1y)min{ηAα1(x)eiφAβ1(x),ηAα1(y)eiφAβ1(y)},

    (6) rAα2(x1y)eisAβ2(x1y)max{rAα2(x)eisAβ2(x),rAα2(y)eisAβ2(y)}.

    Example 5.2. Recalling that A(α1,2,β1,2)={0,0.5ei0.2π,0.3ei0.8π, 1,0.3ei0.1π,0.9eiπ,2,0.1ei0π,0.9ei0.8π,3,0.4ei0.4π,0.3eiπ} from Example 5.1 satisfies all axioms of Definition 5.3 for all elements in the group Z4. For example, let x=1 and y=2, so xy=3, x1=3 in Z4. Then,

    ηAα1(xy)eiφAβ1(xy)=ηA0.7(3)eiφA0.8π(3)=0.4ei0.4πmin{ηA0.7(1)eiφA0.8π(1),ηA0.7(2)eiφA0.8π(2)}=min{0.3ei0.1π,0.1ei0π}=0.1ei0π,ηAα1(x1)eiφAβ1(x1)=ηA0.7(3)eiφA0.8π(3)=0.4ei0.4πηA0.7(1)eiφA0.8π(1)=0.3ei0.1π,rAα2(xy)eisAβ2(xy)=rA0.2(3)eisA0.8π(3)=0.3eiπmax{rA0.2(1)eisA0.5π(1),rA0.2(2)eisA0.5π(2)}=max{0.9eiπ,0.9ei0.8π}=0.9eiπ,rAα2(x1)eisAβ2(x1)=rA0.2(3)eisA0.5π(3)=0.3eiπrA0.2(1)eisA0.5π(1)=0.9eiπ.

    Theorem 5.1. Let G be a group. If A is a CIFSG of G, then A(α1,2,β1,2) is an (α1,2,β1,2)-CIFSG of the group G.

    Proof: Assume that A is a CIFSG of the group G. For all x,yG, we have

    ηAα1(xy)eiφAβ1(xy)=ηA(xy)eiφA(xy)α1eiβ1min{ηA(x)eiφA(x),ηA(y)eiφA(y)}α1eiβ1=min{ηA(x)eiφA(x)α1eiβ1,ηA(y)eiφA(y)α1eiβ1}=min{ηAα1(x)eiφAβ1(x),ηAα1(y)eiφAβ1(y)},ηAα1(x1)eiφAβ1(x1)=ηA(x1)eiφA(x1)α1eiβ1ηA(x)eiφA(x)α1eiβ1=ηAα1(x)eiφAβ1(x),rAα2(xy)eisAβ2(xy)=rA(xy)eisA(xy)α2eiβ2max{rA(x)eisA(x),rA(y)eisA(y)}α2eiβ2=max{rA(x)eisA(x)α2eiβ2,rA(y)eisA(y)α2eiβ2}=max{rAα2(x)eisAβ2(x),rAα2(y)eisAβ2(y)},rAα2(x1)eisAβ2(x1)=rA(x1)eisA(x1)α2eiβ2rA(x)eisA(x)α2eiβ2=rAα2(x)eisAβ2(x).

    Example 5.3. Let G=Z4={0,1,2,3} represent the status of patients at different time points. Define an (α1,2,β1,2)-CIFSG A(α1,2,β1,2), where the membership function and non-membership function are as follows:

    ηAα1(x)eiφAβ1(x)=ηA(x)eiφA(x)α1eiβ1=max{0,ηA(x)+α11}eimax{0,φA(x)+β12π},
    rAα2(x)eisAβ2(x)=rA(x)eisA(x)α2eiβ2=min{1,rA(x)+α2}eimin{2π,sA(x)+β2}.

    Let α1=0.7,α2=0.2,β1=0.8π,β2=0.5π. Define the degree of membership and non-membership of each element as follow:

    A(0)=0.8ei1.4π,0.1ei0.3π,
    A(1)=0.5ei1.3π,0.5ei0.6π,
    A(2)=0.4ei1.6π,0.7ei0.3π,
    A(3)=0.7ei1.4π,0.1ei0.5π,
    A(0.7,0.2,0.4π,0.5π)(0)=0.5ei0.2π,0.3ei0.8π,
    A(0.7,0.2,0.4π,0.5π)(1)=0.2ei0.1π,0.7ei1.1π,
    A(0.7,0.2,0.4π,0.5π)(2)=0.1ei0.4π,0.9ei0.8π,
    A(0.7,0.2,0.4π,0.5π)(3)=0.4ei0.2π,0.3eiπ.

    By Theorem 5.1, we know that A(0.7,0.2,0.4π,0.5π) is a subgroup of G. Assuming that state "0" represents "health" and state "3" represents "severe fever", doctors can reduce the misdiagnosis rate by adjusting paraments α1 and β1. If α1 is increased (e.g., 0.8), then it will only be determined as abnormal when the membership degree is higher. This is applicable to a conservative diagnosis strategy.

    Definition 5.4. Let A(α1,2,β1,2) be an (α1,2,β1,2)-CIFSG of the group G, where α1,α2[0,1] and β1,β2[0,2π]. Then the (α1,2,β1,2)-CIFS gA(α1,2,β1,2)(x) of G is called an (α1,2,β1,2)-complex intuitionistic fuzzy left coset of G, where (α1,2,β1,2)-CIFS gA(α1,2,β1,2)(x) is determined by A(α1,2,β1,2) and g. Then for all x,gG, we have

    gA(α1,2,β1,2)(x)={x,ηgAα1(x)eiφgAβ1(x),rgAα2(x)eisgAβ2(x)|xG},

    where

    ηgAα1(x)eiφgAβ1(x)=ηAα1(g1x)eiφAβ1(g1x)=ηA(g1x)eiφA(g1x)α1eiβ1=max{0,ηA(g1x)+α11}eimax{0,φA(g1x)+β12π},rgAα2(x)eisgAβ2(x)=rAα2(g1x)eisAβ2(g1x)=rA(g1x)eisA(g1x)α2eiβ2=min{1,rA(g1x)+α2}eimin{2π,sA(g1x)+β2}.

    Similarly, for all x,gG, we can define an (α1,2,β1,2)-complex intuitionistic fuzzy right coset and it is described as:

    ηAα1g(x)eiφAβ1g(x)=ηAα1(xg1)eiφAβ1(xg1)=ηA(xg1)eiφA(xg1)α1eiβ1=max{0,ηA(xg1)+α11}eimax{0,φA(xg1)+β12π},rAα2g(x)eisAβ2g(x)=rAα2(xg1)eisAβ2(xg1)=rA(xg1)eisA(xg1)α2eiβ2=min{1,rA(xg1)+α2}eimin{2π,sA(xg1)+β2}.

    Definition 5.5. [19] Let A(α1,2,β1,2) be an (α1,2,β1,2)-CIFSG of the group G, where α1,α2[0,1] and β1,β2[0,2π]. Then A(α1,2,β1,2) is called an (α1,2,β1,2)-CIFNSG if A(α1,2,β1,2)(xy)=A(α1,2,β1,2)(yx). Equivalently, an (α1,2,β1,2)-CIFSG A(α1,2,β1,2) is called an (α1,2,β1,2)-CIFNSG of the group G if A(α1,2,β1,2)x(y)=xA(α1,2,β1,2)(y), for all x,yG.

    Remark 5.3. Let A(α1,2,β1,2) be an (α1,2,β1,2)-CIFNSG of the group G. Then, A(α1,2,β1,2)(y1xy)=A(α1,2,β1,2)(x), for all x,yG.

    Theorem 5.2. If A is a CIFNSG of the group G, then A(α1,2,β1,2) is an (α1,2,β1,2)-CIFNSG of the group G.

    Proof: Suppose x and g are any two elements of the group G. Then, for the membership function, we have

    ηA(g1x)eiφA(g1x)=ηA(xg1)eiφA(xg1).

    This implies that

    ηA(g1x)eiφA(g1x)α1eiβ1=ηA(xg1)eiφA(xg1)α1eiβ1,

    which implies that

    ηgAα1(x)eiφgAβ1(x)=ηAα1g(x)eiφAβ1g(x).

    Now, for the non-membership function, we have

    rA(g1x)eisA(g1x)=rA(xg1)eisA(xg1),

    which implies that

    rA(g1x)eisA(g1x)α2eiβ2=rA(xg1)eisA(xg1)α2eiβ2,

    which implies that

    rgAα2(x)eisgAβ2(x)=rAα2g(x)eisAβ2g(x),

    which implies that

    gA(α1,2,β1,2)(x)=A(α1,2,β1,2)g(x),

    and therefore, A(α1,2,β1,2) is an (α1,2,β1,2)-CIFNSG of the group G.

    In this section, we establish a general homomorphism of CIFSGs, and study the relationship between the image and pre-image of CIFSGs and CIFNSGs under this group homomorphism, respectively.

    Definition 6.1. [33] Let f:HG be a homomorphism from the group H to the group G. Let A and B be two CIFSGs of two groups H and G, respectively, for all mH, nG. The set f(A)(n)={n,f(μA)(n),f(νA)(n)} is the image of A, where

    f(μA)(n)={sup{μA(m),if f(m)=n,f1(n)},0,otherwise,
    f(νA)(n)={inf{νA(m),if f(m)=n,f1(n)},0,otherwise.

    Then, the set f1(B)(m)={m,f1(μB)(m),f1(νB)(m)} is called the pre-image of B, where for all mH, we have

    f1(μB)(m)=(μB)(f(m)),
    f1(νB)(m)=(νB)(f(m)).

    Remark 6.1. Let f:HG be a homomorphism from the group H to the group G. Let A and B be two CIFSGs of two groups H and G, respectively. Then,

    (1) f(μA)(n)=f(ηA)(n)eif(φA)(n),

    (2) f(νA)(n)=f(rA)(n)eif(sA)(n),

    (3) f1(μB)(m)=f1(ηB)(m)eif1(φB)(m),

    (4) f1(νB)(m)=f1(rB)(m)eif1(sB)(m).

    Definition 6.2. [32] Let G be a CIFSG, and then the group formed by a coset of a normal subgroup N of G is called a quotient group, which we denote by the symbol G/N.

    Remark 6.2. Since the expoent of N is the number of cosets of N, we obviously have that the number of elements of the quotient group G/N is equal to the exponent of N.

    Theorem 6.1. Let G be a CIFSG, and then a group G is homomorphic to each of its quotient groups G/N.

    Theorem 6.2. Suppose that we have two CIFSGs G1 and G2, and that G1 and G2 are homomorphic. Then below this homomorphism surjective f:

    (1) The image f(A) of a subgroup A of G1 is a subgroup of G2,

    (2) The image f(B) of a normal subgroup B of G1 is a normal subgroup of G2.

    Proof: (1) For all m,nG2, f(A)(mn)=(μf(A)(mn),νf(A)(mn)),

    μf(A)(mn)=ηf(A)(mn)eiφf(A)(mn)min{ηf(A)(m),ηf(A)(n)}eimin{φf(A)(m),φf(A)(n)}=min{ηf(A)(m)eiφf(A)(m),ηf(A)(n)eiφf(A)(n)}=min{μf(A)(m),μf(A)(n)},νf(A)(mn)=rf(A)(mn)eisf(A)(mn)max{rf(A)(m),rf(A)(n)}eimax{sf(A)(m),sf(A)(n)}=max{rf(A)(m)eisf(A)(m),rf(A)(n)eisf(A)(n)}=max{νf(A)(m),νf(A)(n)}.

    Therefore, mnf(A), f(A)(m1)=(μf(A)(m1),νf(A)(m1)),

    μf(A)(m1)=ηf(A)(m1)eiφf(A)(m1)ηf(A)(m)eiφf(A)(m)=μf(A)(m),νf(A)(m1)=rf(A)(m1)eisf(A)(m1)rf(A)(m)eisf(A)(m)=νf(A)(m),

    and thus, m1f(A). Hence, f(A) is a subgroup of G2.

    (2) It is shown that the image f(B) of a normal subgroup B of G1 is a normal subgroup of G2, for all mG1, nG2, f:G1G2, and we have

    f(B)(n)={n,f(μB(n)),f(νB(n))},
    f(μB)(n)={sup{μB(m),if f(m)=n,f1(n)},0,otherwise,
    f(νB)(n)={inf{νB(m),if f(m)=n,f1(n)},0,otherwise,

    for all bf(B), gG2.

    To prove that f(B) is a normal subgroup of G2, it is only necessary to prove gbg1f(B), that is to say

    f(B)(gbg1)={gbg1,f(μB)(gbg1),f(νB)(gbg1)},
    f(μB)(gbg1)={sup{μB(gbg1),if f(gbg1)=n,f1(n)},0,otherwise,
    f(νB)(gbg1)={inf{νB(gbg1),if f(gbg1)=n,f1(n)},0,otherwise.

    Since the CIFSG B is a normal subgroup of the CIFSG G1, then

    μB(gbg1)=μB(b),
    νB(gbg1)=νB(b),
    f(μB)(gbg1)={sup{μB(b),if f(b)=n,f1(n)},0,otherwise,
    f(νB)(gbg1)={inf{νB(b),if f(b)=n,f1(n)},0,otherwise.

    Therefore, f(μB)(gbg1)=f(μB)(b), f(νB)(gbg1)=f(νB)(b). Naturally, f(B)(gbg1)=f(B)(b), and thus, f(B) is a normal subgroup of the CIFSG G2. The conclusion is tenable.

    Theorem 6.3. Suppose that we have two CIFSGs G1 and G2, and that G1 and G2 are homomorphic. Then below this homomorphism surjective f:

    (1) The inverse image f1(A) of a subgroup f(A) of G2 is a subgroup of G1,

    (2) The inverse image f1(B) of a normal subgroup f(B) of G2 is a normal subgroup of G1.

    Proof: (1) For all x,yG1, f1(A)(xy)={xy,μf1(A)(xy),νf1(A)(xy)},

    μf1(A)(xy)=ηf1(A)(xy)eiφf1(A)(xy)min{ηf1(A)(x),ηf1(A)(y)}eimin{φf1(A)(x),φf1(A)(y)}=min{ηf1(A)(x)eiφf1(A)(x),ηf1(A)(y)eiφf1(A)(y)}=min{μf1(x),μf1(y)},νf1(A)(xy)=rf1(A)(xy)eisf1(A)(xy)max{rf1(A)(x),rf1(A)(y)}eimax{sf1(A)(x),sf1(A)(y)}=max{rf1(A)(x)eisf1(A)(x),rf1(A)(y)eisf1(A)(y)}=max{νf1(x),νf1(y)}.

    Therefore, xyf1(A), f1(A)(x1)={x1,μf1(A)(x1),νf1(A)(x1)},

    μf1(A)(x1)=ηf1(A)(x1)eiφf1(A)(x1)ηf1(A)(x)eiφf1(A)(x)=μf1(A)(x),νf1(A)(x1)=rf1(A)(x1)eisf1(A)(x1)rf1(A)(x)eisf1(A)(x)=νf1(A)(x),

    and thus, x1f1(A). Hence, f1(A) is a subgroup of G1.

    (2) It is shown that the inverse image f1(B) of a normal subgroup f(B) of G2 is a normal subgroup of G1, for all xG1, yG2, af1(B), gG1, f:G1G2, and we have

    f1(B)(y)={y,f1(μB(y)),f1(νB(y))},
    f1(μB)(y)={sup{μf(B)(x),if f1(y)=x,f(x)},0,otherwise,
    f1(νB)(y)={inf{νf(B)(x),if f1(y)=x,f(x)},0,otherwise.

    To prove that f1(B) is a normal subgroup of G1, it is only necessary to prove gag1f1(B), that is to say

    f1(B)(gag1)={gag1,f1(μB)(gag1),f1(νB)(gag1)},
    f1(μB)(gag1)={sup{μf(B)(gag1),if f1(gag1)=x,f(x)},0,otherwise,
    f1(νB)(gag1)={inf{νf(B)(gag1),if f1(gag1)=x,f(x)},0,otherwise.

    Since the CIFSG f(B) is a normal subgroup of the CIFSG G2, then

    μf(B)(gag1)=μf(B)(a),
    νf(B)(gag1)=νf(B)(a),
    f1(μB)(gag1)={sup{μf(B)(a),if f1(a)=x,f(x)},0,otherwise,
    f1(νB)(gag1)={inf{νf(B)(a),if f1(a)=x,f(x)},0,otherwise.

    Consequently, f1(μB)(gag1)=f1(μB)(a), f1(νB)(gag1)=f1(νB)(a), and thus, f1(B)(gag1)=f1(B)(a). Therefore, f1(B) is a normal subgroup of the CIFSG G1. The conclusion is tenable.

    Example 6.1. Suppose we have two groups G1={e1,a1,b1,c1}, G2={e2,a2,b2}, where e1 and e2 are the identity elements of G1 and G2, respectively, and we define a homomorphism f:G1G2 as follows:

    f(e1)=e2,f(a1)=a2,f(b1)=b2,f(c1)=e2.

    Let A be a subgroup of group G1, A={m,μA(m),νA(m)mG1}, that satisfies:

    μA(e1)=0.8ei0.1π,μA(a1)=0.6ei0.2π,μA(b1)=0.4ei0.3π,μA(c1)=0.2ei0.4π,
    νA(e1)=0.2ei0.1π,νA(a1)=0.2ei0.1π,νA(b1)=0.3ei0.2π,νA(c1)=0.4ei0.3π.

    From Definition 6.1, we have that the image of A under f is f(A),

    f(A)(n)={n,f(μA)(n),f(νA)(n)nG2},

    and for the elements of G2, we have

    f(μA)(e2)=sup{μA(e1),μA(c1)}=sup{0.8ei0.1π,0.2ei0.4π}=0.8ei0.1π,
    f(μA)(a2)=μA(a1)=0.6ei0.2π,
    f(μA)(b2)=μA(b1)=0.4ei0.3π,
    f(νA)(e2)=inf{νA(e1),νA(c1)}=inf{0.1ei0.1π,0.4ei0.3π}=0.1ei0.1π,
    f(νA)(a2)=νA(a1)=0.2ei0.1π,
    f(νA)(b2)=νA(b1)=0.3ei0.2π.

    Similarly, if we have a CIFSG B of G2, B={n,μB(n),νB(n)nG2}, then it satisfies:

    μB(e2)=0.7ei0.2π,μB(a2)=0.5ei0.3π,μB(b2)=0.4ei0.4π,
    νB(e2)=0.2ei0.1π,νB(a2)=0.3ei0.2π,νB(b2)=0.4ei0.3π.

    Then the inverse image of B under f is f1(B),

    f1(B)(m)={m,f1(μB)(m),f1(νB)(m)mG1}.

    For the elements of G1, we have

    f1(μB)(e1)=(μB)(f(e1))=μB(e2)=0.7ei0.2π,
    f1(μB)(a1)=(μB)(f(a1))=μB(a2)=0.5ei0.3π,
    f1(μB)(b1)=(μB)(f(b1))=μB(b2)=0.4ei0.4π,
    f1(μB)(c1)=(μB)(f(c1))=μB(c2)=0.7ei0.2π,
    f1(νB)(e1)=(νB)(f(e1))=νB(e2)=0.2ei0.1π,
    f1(νB)(a1)=(νB)(f(a1))=νB(a2)=0.3ei0.2π,
    f1(νB)(b1)=(νB)(f(b1))=νB(b2)=0.4ei0.3π,
    f1(νB)(c1)=(νB)(f(c1))=νB(e2)=0.2ei0.1π.

    For arbitrary x,yG2, f(A)(xy)=(μf(A)(xy),νf(A)(xy)),

    and it is easy to prove by Theorem 6.6,

    μf(A)(xy)min{μf(A)(x),μf(A)(y)},νf(A)(xy)max{νf(A)(x),νf(A)(y)},
    μf(A)(x1)μf(A)(x),νf(A)(x1)μf(A)(x).

    Then the image of f(A) of subgroup A of G1 is a subgroup of G2, and the inverse image of subgroup B of G2 is also a subgroup of G1.

    In this paper, first of all, we introduce cut-subsets of CIFSGs, and study the relationships between the cut-subsets, CIFSGs, CIFASGs, and CIFCSGs. Second, the concept of cosets of CIFSGs is given. On this basis, the CIFNSGs are described and some algebraic properties of the subgroups are discussed. Again, the concept of (α1,2,β1,2)-CIFSGs is a valuable extension of classical CIFSs. This paper presents a new concept of (α1,2,β1,2)-CIFSGs and proves that an (α1,2,β1,2)-CIFSG is a general form of every CIFSG. Finally, we establish a general homomorphism of CIFSGs, and study the relationships between the image and the pre-image of CIFSGs and CIFNSGs, respectively, under this group homomorphism. In addition, with the help of this newly defined (α1,2,β1,2)-CIFSG, we will continue to discuss the algebraic structure of some CIFSGs related to it. The main limitation of this study is that the new concept of (α1,2,β1,2)-CIFSGs presented in this paper is relatively complex, involving intuitionistic fuzzy sets over complex domains, and complex membership and non-membership functions. This complexity can make it difficult to understand and manipulate in real-world applications, especially in scenarios that require quick decisions or work with large amounts of data. Therefore, this paper mainly supports its views through mathematical proof and theoretical derivation, but lacks experimental verification or practical testing of the theory. Future research can be further extended the theoretical framework of (α1,2,β1,2)-CIFSGs, for example by introducing more parameters or considering other types of uncertainty. We can further explore the application of (α1,2,β1,2)-CIFSGs in specific fields, through the combination with other fields, and can develop more powerful tools and methods to solve more complex practical problems, such as medical diagnosis, financial risk assessment, intelligent manufacturing, etc. Through concrete case analysis, the application effects and applications of the theory in practical problems can be demonstrated. The ultimate goal will be to enhance the utility and applicability of the tool in real-world environments.

    Zhuonan Wu: Conceptualization, methodology, writing original draft, editing; Zengtai Gong: Conceptualization, formal analysis, investigation, methodology, supervision. All authors have read and approved the final version of the manuscript for publication.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    This work is supported by the National Natural Science Foundation of China (12471444).

    The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.



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    沈阳化工大学材料科学与工程学院 沈阳 110142

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