Although the concept of connectedness may seem simple, it holds profound implications for topology and its applications. The concept of connectedness serves as a fundamental component in the Intermediate Value Theorem. Connectedness is significant in various applications, including geographic information systems, population modeling and robotics motion planning. Furthermore, connectedness plays a crucial role in distinguishing between different topological spaces. In this paper, we define soft weakly connected sets as a new class of soft sets that strictly contains the class of soft connected sets. We characterize this new class of sets by several methods. We explore various results related to soft subsets, supersets, unions, intersections and subspaces within the context of soft weakly connected sets. Additionally, we provide characterizations for soft weakly connected sets classified as soft pre-open, semi-open or α-open sets. Furthermore, we introduce the concept of a soft weakly connected component as follows: Given a soft point ax in a soft topological space (X,Δ,A), we define the soft weakly component of (X,Δ,A) determined by ax as the largest soft weakly connected set, with respect to the soft inclusion (˜⊆) relation, that contains ax. We demonstrate that the family of soft weakly components within a soft topological space comprises soft closed sets, forming a soft partition of the space. Lastly, we establish that soft weak connectedness is preserved under soft α-continuity.
Citation: Samer Al-Ghour, Hanan Al-Saadi. Soft weakly connected sets and soft weakly connected components[J]. AIMS Mathematics, 2024, 9(1): 1562-1575. doi: 10.3934/math.2024077
[1] | Tareq M. Al-shami, Abdelwaheb Mhemdi . A weak form of soft $ \alpha $-open sets and its applications via soft topologies. AIMS Mathematics, 2023, 8(5): 11373-11396. doi: 10.3934/math.2023576 |
[2] | Ibtesam Alshammari, Islam M. Taha . On fuzzy soft $ \beta $-continuity and $ \beta $-irresoluteness: some new results. AIMS Mathematics, 2024, 9(5): 11304-11319. doi: 10.3934/math.2024554 |
[3] | Tareq M. Al-shami, Abdelwaheb Mhemdi, Radwan Abu-Gdairi, Mohammed E. El-Shafei . Compactness and connectedness via the class of soft somewhat open sets. AIMS Mathematics, 2023, 8(1): 815-840. doi: 10.3934/math.2023040 |
[4] | Samer Al-Ghour, Jawaher Al-Mufarrij . Soft almost weakly continuous functions and soft Hausdorff spaces. AIMS Mathematics, 2024, 9(12): 35218-35237. doi: 10.3934/math.20241673 |
[5] | I. M. Taha . Some new results on fuzzy soft $ r $-minimal spaces. AIMS Mathematics, 2022, 7(7): 12458-12470. doi: 10.3934/math.2022691 |
[6] | Fahad Alsharari, Ahmed O. M. Abubaker, Islam M. Taha . On $ r $-fuzzy soft $ \gamma $-open sets and fuzzy soft $ \gamma $-continuous functions with some applications. AIMS Mathematics, 2025, 10(3): 5285-5306. doi: 10.3934/math.2025244 |
[7] | Tareq M. Al-shami, Abdelwaheb Mhemdi, Alaa M. Abd El-latif, Fuad A. Abu Shaheen . Finite soft-open sets: characterizations, operators and continuity. AIMS Mathematics, 2024, 9(4): 10363-10385. doi: 10.3934/math.2024507 |
[8] | Orhan Göçür . Amply soft set and its topologies: AS and PAS topologies. AIMS Mathematics, 2021, 6(4): 3121-3141. doi: 10.3934/math.2021189 |
[9] | Tareq M. Al-shami, Abdelwaheb Mhemdi, Amani A. Rawshdeh, Heyam H. Al-jarrah . Soft version of compact and Lindelöf spaces using soft somewhere dense sets. AIMS Mathematics, 2021, 6(8): 8064-8077. doi: 10.3934/math.2021468 |
[10] | Tareq M. Al-shami, Salem Saleh, Alaa M. Abd El-latif, Abdelwaheb Mhemdi . Novel categories of spaces in the frame of fuzzy soft topologies. AIMS Mathematics, 2024, 9(3): 6305-6320. doi: 10.3934/math.2024307 |
Although the concept of connectedness may seem simple, it holds profound implications for topology and its applications. The concept of connectedness serves as a fundamental component in the Intermediate Value Theorem. Connectedness is significant in various applications, including geographic information systems, population modeling and robotics motion planning. Furthermore, connectedness plays a crucial role in distinguishing between different topological spaces. In this paper, we define soft weakly connected sets as a new class of soft sets that strictly contains the class of soft connected sets. We characterize this new class of sets by several methods. We explore various results related to soft subsets, supersets, unions, intersections and subspaces within the context of soft weakly connected sets. Additionally, we provide characterizations for soft weakly connected sets classified as soft pre-open, semi-open or α-open sets. Furthermore, we introduce the concept of a soft weakly connected component as follows: Given a soft point ax in a soft topological space (X,Δ,A), we define the soft weakly component of (X,Δ,A) determined by ax as the largest soft weakly connected set, with respect to the soft inclusion (˜⊆) relation, that contains ax. We demonstrate that the family of soft weakly components within a soft topological space comprises soft closed sets, forming a soft partition of the space. Lastly, we establish that soft weak connectedness is preserved under soft α-continuity.
Some mathematical concepts, such as the theory of fuzzy sets, the theory of intuitionistic fuzzy sets, the theory of vague sets, the theory of rough sets and the theory of probability, might be regarded as mathematical instruments for dealing with uncertainties. Some applications of these mathematical concepts appear in [17,18,19,39,40]. However, each of these theories has its own set of problems. Molodtsov [36] invented the notion of soft sets in 1999 in order to deal with uncertainties while modeling issues with inadequate information. He effectively utilized soft set theory in game theory, smoothness of functions, operations research, Riemann integration, Perron integration, probability, and theory of measurement in another study [37]. The properties and uses of soft sets have been investigated in [25,27,30,31,33,34,35,37,42,47,48,51] and others. More information on the algebraic structure of soft sets may be found in [1,3,21,26,28,29]. Shabir and Naz [43] began researching soft topological spaces as a generalization of topological spaces in 2011. Many soft topological notions, including soft separation axioms [8,9,20,22,41], soft covering properties [6,7,11,12,15,38], soft connectedness [10,23,24,32,44,45,49], and different weak and strong types of soft continuity [13], have been developed and investigated in recent years.
Connectedness is a key topic of topology that can provide numerous links between other scientific fields and mathematical models. The concept of connectedness conveys the impression of picture elements hanging together in an object by giving connectedness strength to every potential path between every possible pair of image elements. It is a useful tool for creating picture segmentation algorithms. In the present paper, we will introduce and investigate the concept of soft weak connectedness in soft topological spaces. This research not only gives a theoretical basis for future soft topology applications but can also contribute to the development of information systems.
This article is organized as follows:
In Section 1, after the introduction, we give some definitions which will be used in this paper.
Section 2 defines the concept of a soft weakly connected set, which is a weaker form of a soft weakly connected set. We will obtain various characterizations of soft weakly connected sets. Within the setting of soft weakly connected sets, we will investigate several results related to soft subsets, supersets, unions, intersections, and subspaces.
Section 3 defines soft weakly connected components in a given soft topological space. We will show that this class of soft sets consists of soft closed sets and forms a soft partition of the space. In addition, we will discuss the behavior of soft weak connected sets under soft α -continuity.
Section 4 contains some findings and potential future studies.
We will now go over several significant concepts and terminologies that will be used in the sequel.
Let Y be an initial universe and A be a set of parameters. A soft set over Y relative to A is a function G:A⟶P(Y), where P(Y) denotes the powerset of Y. SS(Y,A) denotes the family of all soft sets over Y relative to A. Let G∈SS(Y,A). If G(a)=∅ for every a∈A, then G is called the null soft set over Y relative to A and denoted by 0A. If G(a)=Y for every a∈A, then G is called the absolute soft set over Y relative to A and denoted by 1A. G is called a soft point over Y relative to A and denoted by ay if there exist a∈A and y∈Y such that G(a)={y} and G(b)=∅ for all b∈A−{a}. SP(Y,A) denotes the family of all soft points over Y relative to A. If for some a∈A and Z⊆Y, G(a)=Z and G(b)=∅ for all b∈A−{a}, then G will be denoted by aZ. If for some Z⊆Y, G(a)=Z for all a∈A, then G will be denoted by CZ. If G∈SS(Y,A) and ay∈SP(Y,A), then ay is said to belong to G (notation: ay˜∈G) if y∈G(a).
Definition 1.1. [43] Let Y be an initial universe and A be a set of parameters. Let Ψ ⊆ SS(Y,A). Then Ψ is called a soft topology on Y relative to A if
(1) 0A,1A∈Ψ,
(2) Ψ is closed under arbitrary soft union,
(3) Ψ is closed under finite soft intersection.
The triplet (Y,Ψ,A) is called a soft topological space. The members of Ψ are called soft open sets in (Y,Ψ,A) and their complements are called soft closed sets in (Y,Ψ,A).
This study adheres to the terminology and concepts utilized in [4,5]. STS will be used in the present research to refer to soft topological space. Let (R,Ψ,M) be an STS and K∈SS(R,M). The soft interior of K in (R,Ψ,M) and the soft closure of K in (R,Ψ,M), respectively, shall be referred to by the terms IntΨ(K) and ClΨ(K), while Ψc and CO(R,Ψ,M) stand for the family of the family of soft closed sets on (R,Ψ,M) and the family of clopen sets on (R,Ψ,M), respectively.
Definition 1.2. An STS (X,Ψ,A) is called
(a) [32] soft connected if CO(X,Ψ,A)={0A,1A}.
(b) [32] soft disconnected if it is not soft connected.
(c) [14] soft locally indiscrete if Ψ=Ψc.
Definition 1.3. Let (X,Ψ,A) be an STS and let G∈SS(X,A). Then G is called.
(a) [46] soft pre-open if G˜⊆IntΨ(ClΨ(G)).
(b) [16] soft semi-open if G˜⊆ClΨ(IntΨ(G)).
(c) [2] soft α-open if G˜⊆IntΨ(ClΨ(IntΨ(G))).
(d) [50] soft dense if ClΨ(G)=1A.
We will denote the family of soft α-open in (X,Ψ,A) by Ψα. It is proved in [2] that Ψα forms a soft topology that is finer than Ψ.
Definition 1.4. [2] A soft function fpu:(R,Ψ,M)⟶(L,Θ,N) is called soft α -continuous if f−1pu(G)∈Ψα for all G∈Θ.
In this section, we define the concept of a soft weakly connected set, which is a weaker form of a soft weakly connected set. We obtain various characterizations of soft weakly connected sets. Within the setting of soft weakly connected sets, we investigate several results related to soft subsets, supersets, unions, intersections and subspaces.
Definition 2.1. Let (L,Δ,R) be a STS and let G∈SS(L,R). Then
(a) G is called soft weakly connected in (L,Δ,R) if there are no K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R and K˜∩G≠0R≠G˜∩H.
(b) G is called soft weakly disconnected in (L,Δ,R) if G is not soft weakly connected in (L,Δ,R).
Theorem 2.2. Let (L,Δ,R) be a STS and let Y be a non-empty subset of L. If CY is soft weakly disconnected in (L,Δ,R), then (Y,ΔY,R) is soft disconnected.
Proof. Suppose that CY is soft weakly disconnected in (L,Δ,R). Then there are K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R, and K˜∩CY≠0R≠H˜∩CY. Since K,H∈CO(L,Δ,R), K˜∩CY, H˜∩CY∈CO(Y,ΔY,R). Since 1R=K˜∪H and K˜∩H=0R, CY=(K˜∪H)˜∩CY=(K˜∩CY)˜∪(H˜∩CY) and (K˜∩H)˜∩CY=0R˜∩CY=0R. Therefore, (Y,ΔY,R) is soft disconnected.
Corollary 2.3. Let (L,Δ,R) be a STS and let Y be a non-empty subset of L. If (Y,ΔY,R) is soft connected, then CY is soft weakly connected in (L,Δ,R).
Theorem 2.4. A STS (L,Δ,R) is soft connected if and only if G is soft weakly connected for every G∈SS(L,R)−{0R}.
Proof. Necessity. Suppose that (L,Δ,R) is soft connected and suppose to the contrary that there exists G∈SS(L,R)−{0R} such that G is soft weakly disconnected. Then there are K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R, and K˜∩G≠0R≠G˜∩H. Since K˜∩G≠0R≠G˜∩H, then K≠0R≠H. This shows that (L,Δ,R) is soft disconnected, a contradiction.
Sufficiency. Suppose that G is soft weakly connected for every G∈SS(L,R)−{0R}, and suppose to the contrary that (L,Δ,R) is soft disconnected. Then there are K,H∈CO(L,Δ,R)−{0R} such that 1R=K˜∪H, K˜∩H=0R. Since K=K˜∩1R and H=H˜∩1R, K˜∩1R≠0R≠H˜∩1R. Thus, we have 1R∈SS(L,R)−{0R} while 1R is soft weakly disconnected, a contradiction.
The converse of Theorem 2.2 does not have to be true in general, as demonstrated by the following two examples:
Example 2.5. Let L={2,3,4}, R={a}, and Δ={0R,1R,a2,a3,a{2.3}}. Let Y={2,3}. Then ΔY={0R,CY,a2,a3}. Since a2,a3∈CO(Y,ΔY,R)−{0R}, a2˜∪a3=CY, and a2˜∩a3=0R, then (Y,ΔY,R) is soft disconnected. On the other hand, if CY is soft weakly disconnected in (L,Δ,R), then by Theorem 2.4, (L,Δ,R) is soft disconnected, but (L,Δ,R) is soft connected.
Example 2.6. Let L=R and A={a,b,c}. Define K,G∈SS(L,A) by K={(a,{1}),(b,{1,2}),(c,N)} and G={(a,N−{1}),(b,N−{1,2}),(c,∅)}. Let Δ={0A,1A,K,G,CN} and Y=N. Then ΔY={0R,CY,G,K,CN}. Since G,K∈CO(Y,ΔY,A)−{0A}, G˜∪K=CY, and G˜∩K=0A, then (Y,ΔY,A) is soft disconnected. On the other hand, if CY is soft weakly disconnected in (L,Δ,A), then by Theorem 2.4, (L,Δ,A) is soft disconnected, but (L,Δ,A) is soft connected.
Theorem 2.7. Let (L,Δ,R) and (L,Γ,R) be soft disconnected STSs such that Δ⊆Γ. If G is soft weakly connected in (L,Γ,R), then G is soft weakly connected in (L,Δ,R).
Proof. Suppose that G is soft weakly connected in (L,Γ,R). Suppose to the contrary that G is soft weakly disconnected in (L,Δ,R). Then there are K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R, and K˜∩G≠0R≠G˜∩H. Since Δ⊆Γ, K,H∈CO(L,Γ,R). This implies that G is soft weakly disconnected in (L,Δ,R), a contradiction.
Theorem 2.8. Let (L,Δ,R) be soft disconnected and let G∈SS(L,R). Then G is soft weakly connected in (L,Δ,R) if and only if for any K,H∈SS(L,R) such that IntΔ(A)=A=ClΔ(A), IntΔ(B)=B=ClΔ(B), 1R=K˜∪H, and K˜∩H=0R; we have G˜⊆K or G˜⊆H.
Proof. Necessity. Suppose that G is soft weakly connected in (L,Δ,R). Let K,H∈SS(L,R) such that IntΔ(K)=K=ClΔ(K), IntΔ(H)=H=ClΔ(H), 1R=K˜∪H, and K˜∩H=0R. Since IntΔ(K)=K=ClΔ(K) and IntΔ(H)=H=ClΔ(H), K,H∈CO(L,Δ,R). Since G is soft weakly connected in (L,Δ,R), then we have K˜∩G=0R or G˜∩H=0R. Since 1R=K˜∪H and K˜∩H=0R, then K=1R−H and H=1R−K. Since we have K˜∩G=0R or G˜∩H=0R, then we have G˜⊆1R−K˜⊆H or G˜⊆1R−H˜⊆K.
Sufficiency. Suppose to the contrary that G is soft weakly connected in (L,Δ,R). Then there are K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R, and K˜∩G≠0R≠G˜∩H. Since K,H∈CO(L,Δ,R), then IntΔ(K)=K=ClΔ(K) and IntΔ(H)=H=ClΔ(H). Thus, by assumption, we must have G˜⊆K or G˜⊆H. Without loss of generality, we may assume that G˜⊆K. Since 1R=K˜∪H and K˜∩H=0R, then K=1R−H. Therefore, we have G˜⊆1R−H and hence 0R=G˜∩H, a contradiction.
Theorem 2.9. Let (L,Δ,R) be soft disconnected and let G∈SS(L,R). Then the following are equivalent:
(a) G is soft weakly connected in (L,Δ,R).
(b) For each K∈CO(L,Δ,R)−{0R}, we have G˜⊆K or G˜⊆1R−K.
(c) For each K∈SS(L,R)−{0R} with BdΔ(K)=0R, G˜⊆K or G˜⊆1R−K.
Proof. (a) ⟶ (b): Let K∈CO(L,Δ,R)−{0R}. Then we have IntΔ(K)=K=ClΔ(K), IntΔ(1R−K)=1R−K=ClΔ(1R−K), 1R=K˜∪(1R−K), and K˜∩(1R−K)=0R. So, by (a) and Theorem 2.8, we have G˜⊆K or G˜⊆1R−K.
(b) ⟶ (c): Since BdΔ(K)=0R, K∈CO(L,Δ,R). Thus, by (b), G˜⊆K or G˜⊆1R−K.
(c) ⟶ (a): Suppose to the contrary that G is soft weakly disconnected in (L,Δ,R). Then there are K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R, and K˜∩G≠0R≠G˜∩H. Since 1R=K˜∪H and K˜∩H=0R, then H=1R−K. Since K˜∩G≠0R, then K≠0R. So, we have K∈SS(L,R)−{0R} with BdΔ(K)=ClΔ(K)˜∩ClΔ(1R−K)=K˜∩(1R−K)=0R and by (c), G˜⊆K or G˜⊆1R−K. Thus, we have G˜∩H=(1R−K)˜∩G=0R or K˜∩G=0R. However, K˜∩G≠0R≠G˜∩H, a contradiction.
Theorem 2.10. Let (L,Δ,R) be soft disconnected and let G∈SS(L,R). Then the following are equivalent:
(a) G is soft weakly connected in (L,Δ,R).
(b) For every pair K,H∈SS(L,R)−{0R} of soft separated sets in (L,Δ,R) such that 1R=K˜∪H we have G˜⊆K or G˜⊆H.
Proof. (a) ⟶ (b): Suppose to the contrary that there are soft separated sets K,H∈SS(L,R)−{0R} in (L,Δ,R) such that 1R=K˜∪H and (1R−K)˜∩G≠0R≠G˜∩(1R−H). Since K and H are soft separated sets in (L,Δ,R), K˜∩H=0R. Since 1R=K˜∪H and K˜∩H=0R, K=1R−H and H=1R−K. Thus, we have K˜∩G≠0R≠G˜∩H. Since 1R=K˜∪H, 1R=K˜∪ClΔ(H) and 1R=H˜∪ClΔ(K). Since K and H are soft separated sets in (L,Δ,R), K˜∩ClΔ(H)=0R and ClΔ(K)˜∩H=0R. Thus, we have K=1R−ClΔ(H) and H=1R−ClΔ(K) and hence K,H∈Δ. Therefore by (a), A∉Δc or B∉Δc, say A∉Δc. Then there exists rx˜∈ClΔ(K)−K=ClΔ(K)˜∩(1R−K)=ClΔ(K)˜∩H, a contradiction.
(b) ⟶ (a): Suppose to the contrary that G is soft weakly disconnected in (L,Δ,R). Then there are K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R, and K˜∩G≠0R≠G˜∩H. Since K,H∈Δc and K˜∩H=0R, K˜∩ClΔ(B)=0R and ClΔ(A)˜∩H=0R. Thus, K, K are soft separated sets in (L,Δ,R). Since K˜∩G≠0R≠G˜∩H, K≠0R≠H. Since 1R=K˜∪H, K˜∩H=0R, K=1R−H and H=1R−K. Therefore, by (b), G˜⊆K or G˜⊆H and so, G˜∩H=G˜∩(1R−K)=0R or G˜∩K=G˜∩(1R−H)=0R, a contradiction.
Theorem 2.11. Let (L,Δ,R) be soft disconnected, Y a non-empty subset of L, and G∈SS(Y,R). If G is soft weakly connected in (Y,ΔY,R), then G is soft weakly connected in (L,Δ,R).
Proof. Suppose that G is soft weakly connected in (Y,ΔY,R). Suppose to the contrary that G is soft weakly disconnected in (L,Δ,R). Then Then there are K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R, and K˜∩G≠0R≠G˜∩H. Since K,H∈CO(L,Δ,R), K˜∩CY, H˜∩CY∈(Y,ΔY,R). Since 1R=K˜∪H, then CY˜∩1R=CY˜∩(K˜∪H)=(CY˜∩K)˜∪(CY˜∩H). Since K˜∩H=0R, then (CY˜∩K)˜∩(CY˜∩H)=CY˜∩(K˜∩H)=CY˜∩(0R)=0R. Since G∈SS(Y,R), then G˜∩CY=G. Therefore, we have (CY˜∩K)˜∩G=(G˜∩CY)˜∩K=G˜∩K≠0R and (CY˜∩H)˜∩G=(G˜∩CY)˜∩H=G˜∩H≠0R. This shows that G is soft weakly disconnected in (Y,ΔY,R), a contradiction.
The following question is natural:
Let (L,Δ,R) be a STS, Y a non-empty subset of L, and G∈SS(Y,R) such that G is soft weakly connected in (L,Δ,R). Is it true that G is soft weakly connected in (Y,ΔY,R).
Each of the following two examples gives a negative answer to the above question:
Example 2.12. Let L={2,3,4,5}, R={a}, Δ={0R,1R,a{2},a{3,4},a{2,3,4}}, Y={2,3,4}, and G=a{2,3}. Then ΔY={0R,CY,a{2},a{3,4}}. Let K= a{2} and H=a{3,4}. Then K,H∈CO(Y,ΔY,R) such that CY=K˜∪H, K˜∩H=0R, K˜∩G=K≠0R, and G˜∩H=a{3}≠0R. This shows that G is soft weakly disconnected in (Y,ΔY,R). Since CO(L,Δ,R)={0R,1R}, then (L,Δ,R) is soft connected, and by Theorem 2.4, G is soft weakly connected in (L,Δ,R).
Example 2.13. Let L=N and A={a,b}. Define S,T∈SS(L,A) by S={(a,{1,3}),(b,{1,2})} and T={(a,{2,4}),(b,{3,4})}. Let Y={1,2,3,4} and G∈SS(Y,A) defined by G={(a,{3}),(b,{4})}. Let Δ={0A,1A,S,T,CY}. Then ΔY={0A,CY,S,T}. Then we have S,T∈CO(Y,ΔY,A) such that CY=S˜∪T, S˜∩T=0A, S˜∩G≠0A, and T˜∩G≠0A. This shows that G is soft weakly disconnected in (Y,ΔY,A). Since CO(L,Δ,A)={0A,1A}, then (L,Δ,A) is soft connected, and by Theorem 2.4, G is soft weakly connected in (L,Δ,A).
Theorem 2.14. Let (L,Δ,R) be soft locally indiscrete, Y a non-empty subset of L, and G∈SS(Y,R). If G is soft weakly connected in (L,Δ,R), then G is soft weakly connected in (Y,ΔY,R).
Proof. Suppose to the contrary that G is soft weakly disconnected in (Y,ΔY,R). Then there are S,T∈CO(Y,ΔY,R) such that CY=S˜∪T, S˜∩T=0R, and S˜∩G≠0R≠G˜∩T. Since S,T∈ΔY, there exist K,H∈Δ such that S=K˜∩CY and T=H˜∩CY. Put M=K−H and N=H˜∪(1R−(K˜∪H)). Since (L,Δ,R) is soft locally indiscrete, M, N∈CO(L,Δ,R). Also, it is not difficult to see that 1R=M˜∪N, (M˜∩N)=0R, and M˜∩G≠0R≠N˜∩G. This shows that G is soft weakly disconnected in (L,Δ,R), a contradiction.
Corollary 2.15. Let (L,Δ,R) be soft locally indiscrete, Y a non-empty subset of L, and G∈SS(Y,R). Then G is soft weakly connected in (L,Δ,R) if and only if G is soft weakly connected in (Y,ΔY,R).
Proof. The proof follows from Theorems 2.11 and 2.14.
Theorem 2.16. Let (L,Δ,R) be soft disconnected, Y a non-empty subset of L such that CY∈CO(L,Δ,R) and (Y,ΔY,R) is soft disconnected, and G∈SS(Y,R). If G is soft weakly connected in (L,Δ,R), then G is soft weakly connected in (Y,ΔY,R).
Proof. Suppose to the contrary that G is soft weakly disconnected in (Y,ΔY,R). Then there are S,T∈CO(Y,ΔY,R) such that CY=S˜∪T, S˜∩T=0R, and S˜∩G≠0R≠G˜∩T. Since S,T∈ΔY, there exist K,H∈Δ such that S=K˜∩CY and T=H˜∩CY. Since CY∈Δ, S,T∈Δ. Since CY∈Δc, 1R−CY=CL−Y∈Δ. Put N=T˜∪(CL−Y). Then we have S,N∈Δ, 1R=S˜∪N, (S˜∩N)=0R, and S˜∩G≠0R≠N˜∩G. Moreover, since S,N∈Δ, 1R=S˜∪N, and (S˜∩N)=0R, then S=1R−N∈Δc and N=1R−S∈Δc and hence S,N∈CO(L,Δ,R). This shows that G is soft weakly disconnected in (L,Δ,R), a contradiction.
Theorem 2.17. Let (L,Δ,R) be soft disconnected and let K,H∈SS(L,R)−{0R} be soft separated sets in (L,Δ,R) such that K˜∪H=CY for some Y⊆L. If G˜⊆CY such that G is soft weakly connected in (Y,ΔY,R), then G˜⊆K or G˜⊆H.
Proof. Since K and H are soft separated sets in (L,Δ,R), then K˜∩ClΔ(H)=0R and ClΔ(K)˜∩H=0R. Thus, K˜∩ClΔY(H)=K˜∩(ClΔ(H)˜∩CY)=(ClΔ(K)˜∩H)˜∩CY=0R˜∩CY=0R and H˜∩ClΔY(K)=H˜∩(ClΔ(K)˜∩CY)=(ClΔ(H)˜∩K)˜∩CY=0R˜∩CY=0R. Hence, since K and H are soft separated sets in (Y,ΔY,R). Therefore, by Theorem 2.10, G˜⊆K or G˜⊆H.
Theorem 2.18. A STS (L,Δ,R) is soft connected if and only if for each ax,by∈SP(L,R) with ax≠by there exists a soft weakly connected set G in (L,Δ,R) such that ax,by˜∈G.
Proof. Necessity. Suppose to the contrary that (L,Δ,R) is soft connected. Take G=1R. Then by Theorem 2.4, G is soft weakly connected in (L,Δ,R) such that ax,by˜∈G.
Sufficiency. Suppose the sufficiency condition holds but (L,Δ,R) is soft disconnected. Then there exist K,H∈Δ−{0R} such that 1R=K˜∪H, K˜∩H=0R. Choose ax˜∈K and by˜∈H. Then by assumption, there exists a soft weakly connected set G in (L,Δ,R) such that ax,by˜∈G. Since 1R=K˜∪H, K˜∩H=0R, then K= 1R−H and H= 1R−K. Hence, K,H∈CO(L,Δ,R). Since ax˜∈G˜∩K and by˜∈G˜∩H, then we have K˜∩G≠0R≠G˜∩H. This implies that G soft weakly disconnected in (L,Δ,R), a contradiction.
Theorem 2.19. Let (L,Δ,R) be a STS. If there is G∈SS(L,R) such that G is soft weakly connected and soft dense in (L,Δ,R), then (L,Δ,R) is soft connected.
Proof. Suppose to the contrary that (L,Δ,R) is soft disconnected. Then there exist K,H∈Δ−{0R} such that 1R=K˜∪H, K˜∩H=0R. Since G is soft dense in (L,Δ,R), then K˜∩G≠0R≠G˜∩H. Since 1R=K˜∪H, K˜∩H=0R, then K= 1R−H and H= 1R−K. Hence, K,H∈CO(L,Δ,R). This implies that G soft weakly disconnected in (L,Δ,R), a contradiction.
Theorem 2.20. Let (L,Δ,R) be soft disconnected and let G,N∈SS(L,R) such that G˜⊆N. If N is soft weakly connected in (L,Δ,R), then G is soft weakly connected in (L,Δ,R).
Proof. Suppose to the contrary that G is soft weakly disconnected in (L,Δ,R). Then there are K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R, and K˜∩G≠0R≠G˜∩H. Since G˜⊆N, then 0R≠K˜∩G˜⊆K˜∩N and 0R≠H˜∩G˜⊆H˜∩N. This shows that N is soft weakly disconnected in (L,Δ,R), a contradiction.
Corollary 2.21. Let (L,Δ,R) be soft disconnected and let Gα∈SS(L,R) for all α∈ϝ. If for some β∈ϝ, Gβ is soft weakly connected in (L,Δ,R), then ˜∩α∈ϝGα is soft weakly connected in (L,Δ,R).
Proof. Suppose that Gβ is soft weakly connected in (L,Δ,R) for some β∈ϝ. Since ˜∩α∈ϝGα˜⊆Gβ, then by Theorem 2.20, ˜∩α∈ϝGα is soft weakly connected in (L,Δ,R).
Corollary 2.22. Let (L,Δ,R) be soft disconnected and let S,T,G∈SS(L,R) such that S˜⊆T and G˜⊆T−S. If T is soft weakly connected in (L,Δ,R), then S˜∪G is soft weakly connected in (L,Δ,R).
Proof. Suppose that T is soft weakly connected in (L,Δ,R). Since S˜⊆T and G˜⊆T−S, S˜∪G˜⊆T˜∪(T−S)˜⊆T. Thus, by Theorem 2.20, S˜∪G is soft weakly connected in (L,Δ,R).
Theorem 2.23. Let (L,Δ,R) be soft disconnected. If S and T are soft weakly connected in (L,Δ,R) such that S˜∩T≠0R, then S˜∪T is soft weakly connected in (L,Δ,R).
Proof. Suppose to the contrary that S˜∪T is soft weakly disconnected in (L,Δ,R). Then there are K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R, and K˜∩(S˜∪T)≠0R≠(S˜∪T)˜∩H. By Theorem 2.9 (b), (S˜⊆K and T˜⊆K), (S˜⊆K and T˜⊆H), (S˜⊆H and T˜⊆K), or (S˜⊆H and T˜⊆H). If (S˜⊆K and T˜⊆H) or (S˜⊆H and T˜⊆K), then 0R≠S˜∩T˜⊆H˜∩K=0R. Therefore, (S˜⊆K and T˜⊆K) or (S˜⊆H and T˜⊆H) and hence S˜∪T˜⊆K or S˜∪T˜⊆H. Thus, we have (S˜∪T)˜∩H=0R or (S˜∪T)˜∩K=0R, a contradiction.
Theorem 2.24. Let (L,Δ,R) be soft disconnected and let {Gα:α∈ϝ}⊆SS(L,R) such that Gα˜∩Gβ≠0R for all α,β∈ϝ. If Gα is soft weakly connected in (L,Δ,R) for all α∈ϝ, then ˜∪α∈ϝGα is soft weakly connected in (L,Δ,R).
Proof. Suppose to the contrary that ˜∪α∈ϝGα is soft weakly disconnected in (L,Δ,R). Then there are K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R, and K˜∩(˜∪α∈ϝGα)≠0R≠(˜∪α∈ϝGα)˜∩H. By Theorem 2.9 (b), for all α∈ϝ either Gα˜⊆K or Gα˜⊆H. Since Gα˜∩Gβ≠0R for all α,β∈ϝ, then either ˜∪α∈ϝGα˜⊆K or ˜∪α∈ϝGα˜⊆H. Thus, we have (˜∪α∈ϝGα)˜∩H=0R or (˜∪α∈ϝGα)˜∩K=0R, a contradiction.
Corollary 2.25. Let (L,Δ,R) be soft disconnected and let {Gα:α∈ϝ}⊆SS(L,R) such that ˜∩α∈ϝGα≠0R. If Gα is soft weakly connected in (L,Δ,R) for all α∈ϝ, then ˜∪α∈ϝGα is soft weakly connected in (L,Δ,R).
Theorem 2.26. Let (L,Δ,R) be soft disconnected. If G is soft weakly connected in (L,Δ,R), then ClΔ(G) is soft weakly connected in (L,Δ,R).
Proof. Suppose to the contrary that ClΔ(G) is soft weakly disconnected in (L,Δ,R). Then there are K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R, and K˜∩ClΔ(G)≠0R≠ClΔ(G)˜∩H. Since K,H∈Δ and K˜∩ClΔ(G)≠0R≠ClΔ(G)˜∩H, then K˜∩G≠0R≠G˜∩H. This shows that G is soft weakly disconnected in (L,Δ,R), a contradiction.
Corollary 2.27. Let (L,Δ,R) be soft disconnected and let G∈SS(L,R). Then G is soft weakly connected in (L,Δ,R) if and only if ClΔ(G) is soft weakly connected in (L,Δ,R).
Proof. The proof follows from Theorems 2.20 and 2.26.
Corollary 2.28. Let (L,Δ,R) be soft disconnected and let G∈SS(L,R). Then G is soft weakly connected in (L,Δ,R) if and only if each T∈SS(L,R) such that G˜⊆T˜⊆ ClΔ(G) is soft weakly connected in (L,Δ,R).
Proof. The proof follows from Theorems 2.20 and 2.26.
Theorem 2.29. Let (L,Δ,R) be soft disconnected and let {Gi}i∈I⊆SS(L,R). If ˜∪i∈IGi˜⊆T and T is soft weakly connected in (L,Δ,R), then ˜∪i∈IClΔ(Gi) is soft weakly connected in (L,Δ,R).
Proof. Since T is soft weakly connected in (L,Δ,R), by Theorem 2.26 we have ClΔ(T) is soft weakly connected in (L,Δ,R). Since ˜∪i∈IClΔ(Gi)˜⊆ClΔ(˜∪i∈IGi)˜⊆ClΔ(T), by Theorem 2.20, ˜∪i∈IClΔ(Gi) is soft weakly connected in (L,Δ,R).
Theorem 2.30. Let (L,Δ,R) be soft disconnected and let G∈SS(L,R). If G is soft weakly connected in (L,Δ,R), then ClΔ(IntΔ(ClΔ(G))) is soft weakly connected in (L,Δ,R).
Proof. Suppose that G is soft weakly connected in (L,Δ,R). Then by Theorem 2.26, ClΔ(G) is soft weakly connected in (L,Δ,R). Since IntΔ(ClΔ(G))˜⊆ClΔ(G), by Theorem 2.20, IntΔ(ClΔ(G)) is soft weakly connected in (L,Δ,R). Again, by Theorem 2.26, ClΔ(IntΔ(ClΔ(G))) is soft weakly connected in (L,Δ,R).
Theorem 2.31. Let (L,Δ,R) be soft disconnected. If S and T are soft weakly connected in (L,Δ,R) such that ClΔ(S)˜∩ClΔ(T)≠0R, then ClΔ(IntΔ(ClΔ(S)))˜∪ClΔ(IntΔ(ClΔ(T))) is soft weakly connected in (L,Δ,R).
Proof. Since S and T are soft weakly connected in (L,Δ,R), by Theorem 2.26, ClΔ(S) and ClΔ(T) are soft weakly connected in (L,Δ,R). Hence, by Theorem 2.23, ClΔ(S)˜∪ClΔ(T) is soft weakly connected in (L,Δ,R). Since ClΔ(IntΔ(ClΔ(S)))˜∪ClΔ(IntΔ(ClΔ(T)))=
ClΔ(IntΔ(ClΔ(S))˜∪IntΔ(ClΔ(T)))˜⊆ClΔ(ClΔ(S)˜∪ClΔ(T))=ClΔ(S)˜∪ClΔ(T), |
by Theorem 2.20, ClΔ(IntΔ(ClΔ(S)))˜∪ClΔ(IntΔ(ClΔ(T))) is soft weakly connected in (L,Δ,R).
Theorem 2.32. Let (L,Δ,R) be soft disconnected. If G is soft weakly connected in (L,Δ,R), then
(a) ClΔ(IntΔ(G)) is soft weakly connected in (L,Δ,R).
(b) IntΔ(ClΔ(G)) is soft weakly connected in (L,Δ,R).
(c) IntΔ(ClΔ(IntΔ(G))) is soft weakly connected in (L,Δ,R).
Proof. (a) Since G is soft weakly connected in (L,Δ,R), by Theorem 2.26, ClΔ(G) is soft weakly connected in (L,Δ,R). Since ClΔ(IntΔ(G))˜⊆ClΔ(G), by Theorem 2.20, ClΔ(IntΔ(G)) is soft weakly connected in (L,Δ,R).
(b) Since G is soft weakly connected in (L,Δ,R), by Theorem 2.26, ClΔ(G) is soft weakly connected in (L,Δ,R). Since IntΔ(ClΔ(G))˜⊆ClΔ(G), by Theorem 2.20, IntΔ(ClΔ(G)) is soft weakly connected in (L,Δ,R).
(c) By (a), ClΔ(IntΔ(G)) is soft weakly connected in (L,Δ,R). Since IntΔ(ClΔ(IntΔ(G)))˜⊆ClΔ(IntΔ(G)), by Theorem 2.20, IntΔ(ClΔ(IntΔ(G))) is soft weakly connected in (L,Δ,R).
Theorem 2.33. Let (L,Δ,R) be soft disconnected and let G be soft pre-open in (L,Δ,R). Then G is soft weakly connected in (L,Δ,R) if and only if ClΔ(IntΔ(G)) is soft weakly connected in (L,Δ,R).
Proof. Necessity. Follows from Theorem 2.32 (a).
Sufficiency. Suppose that ClΔ(IntΔ(G)) is soft weakly connected in (L,Δ,R). Since G is soft semi-open in (L,Δ,R), G˜⊆ClΔ(IntΔ(G)). Thus, by Theorem 2.20, G is soft weakly connected in (L,Δ,R).
Theorem 2.34. Let (L,Δ,R) be soft disconnected and let G be soft semi-open in (L,Δ,R). Then G is soft weakly connected in (L,Δ,R) if and only if IntΔ(ClΔ(G)) is soft weakly connected in (L,Δ,R).
Proof. Necessity. Follows from Theorem 2.32 (b).
Sufficiency. Suppose that IntΔ(ClΔ(G)) is soft weakly connected in (L,Δ,R). Since G is soft pre-open in (L,Δ,R), G˜⊆IntΔ(ClΔ(G)). Thus, by Theorem 2.20, G is soft weakly connected in (L,Δ,R).
Theorem 2.35. Let (L,Δ,R) be soft disconnected and let G be soft α-open in (L,Δ,R). Then G is soft weakly connected in (L,Δ,R) if and only if IntΔ(ClΔ(IntΔ(G))) is soft weakly connected in (L,Δ,R).
Proof. Necessity. Follows from Theorem 2.32 (c).
Sufficiency. Suppose that IntΔ(ClΔ(IntΔ(G))) is soft weakly connected in (L,Δ,R). Since G is soft α-open in (L,Δ,R), G˜⊆IntΔ(ClΔ(IntΔ(G))). Thus, by Theorem 2.20, G is soft weakly connected in (L,Δ,R).
Theorem 2.36. Let (L,Δ,R) be soft disconnected and let G∈SS(L,R). If IntΔ(G) is soft weakly connected in (L,Δ,R) and G is soft semi-open in (L,Δ,R), then G is soft weakly connected in (L,Δ,R).
Proof. Since IntΔ(G) is soft weakly connected in (L,Δ,R), by Theorem 2.26, ClΔ(IntΔ(G)) is soft weakly connected in (L,Δ,R). Since G is soft semi-open in (L,Δ,R), G˜⊆ClΔ(IntΔ(G)). Thus, by Theorem 2.20, G is soft weakly connected in (L,Δ,R).
In this section, we define soft weakly connected components in a given soft topological space. We show that this class of soft sets consists of soft closed sets and forms a soft partition of the space. In addition, we discuss the behavior of soft weak connected sets under soft α-continuity.
Theorem 3.1. Let (L,Δ,R) be soft disconnected. For any ax,by∈SP(L,R), define axCby if and only if there exists a soft weakly connected set G in (L,Δ,R) such that ax,by˜∈G. Then C is an equivalence relation on SP(L,R).
Proof. To see that C is reflexive, let ax∈SP(L,R).
Claim. ax is soft weakly connected in (L,Δ,R).
Proof of Claim. Suppose to the contrary that there are K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R, and K˜∩ax≠0R≠ax˜∩H. Thus, we have ax˜∈ K˜∩H=0R, a contradiction.
Therefore, by the above claim, axCax. This shows that C is reflexive.
To see that C is transitive, suppose that axCby and byCdz. Then there are soft weakly connected sets S,T in (L,Δ,R) such that ax,by˜∈S and by,dz˜∈T. Since by˜∈S˜∩T, by Theorem 2.21, S˜∪T is soft weakly connected in (L,Δ,R). Since ax,dz˜∈S˜∪T, axCdz. This shows that C is transitive.
Finally, it is clear from the definition that C is symmetric.
Definition 3.2. Let (L,Δ,R) be soft disconnected and let ax∈SP(L,R). Let C be the equivalence relation described in Theorem 3.1. The equivalence class determined by ax relative to the equivalence relation C will be denoted by C(ax) and the soft set ˜∪by∈C(ax)by will be denoted by Cax and will be called the soft weakly-component (w-component, for short) of (L,Δ,R) determined by ax.
Theorem 3.3. Let (L,Δ,R) be soft disconnected ax∈SP(L,R). Then
(a) ax˜∈Cax.
(b) Cax is soft weakly connected in (L,Δ,R).
(c) If K is a soft weakly connected in (L,Δ,R) and Cax˜⊆K, then G=K.
(d) Cax is soft closed in (L,Δ,R).
Proof. (a) Since C is reflexive, then ax∈C(ax) and so, ax˜∈˜∪by∈C(ax)by=Cax.
(b) Let G=˜∪{T:ax˜∈T and T is soft weakly connected in (L,Δ,R)}. Since ax˜∈˜∩{T:ax˜∈T and T is soft weakly connected in(L,Δ,R)}, by Corollary 2.23, G is soft weakly connected in (L,Δ,R).
Claim. G=Cax and hence Cax is soft weakly connected in (L,Δ,R).
Proof of Claim. To see that G˜⊆Cax, let by˜∈G. Then there exists a soft weakly connected set T in (L,Δ,R) such that ax,by˜∈T. Hence, by˜∈Cax.
To see that Cax˜⊆G, let by˜∈Cax. Then there exists a soft weakly connected set T in (L,Δ,R) such that ax,by˜∈T. Hence, by˜∈G.
(c) Let K be soft weakly connected in (L,Δ,R) such that Cax˜⊆K. To see that K˜⊆Cax, let by˜∈K. Since ax˜∈Cax˜⊆K, then we have ax,by˜∈K where K is soft weakly connected in (L,Δ,R). Hence, by˜∈Cax.
(d) By (b), Cax is soft weakly connected in (L,Δ,R). So, by Theorem 2.24, ClΔ(Cax) is soft weakly connected in (L,Δ,R). Since Cax˜⊆ClΔ(Cax), then by (c), Cax=ClΔ(Cax). This shows that Cax is soft closed in (L,Δ,R).
Example 3.4. Let L={1,2,3,4} and A={a,b}. Define S,T∈SS(L,A) by S={(a,{1,2}),(b,{3,4})} and T={(a,{3,4}),(b,{1,2})}. Let Let Δ={0A,1A,S,T}. Then Ca1=Ca2=Cb3=Cb4=S and Ca3=Ca4=Cb1=Cb2=T.
Theorem 3.5. Let (L,Δ,R) be soft disconnected and let G∈SS(L,R). Then G is soft weakly disconnected in (L,Δ,R) if and only if G is soft weakly disconnected in (L,Δα,R).
Proof. Necessity. Suppose that G is soft weakly disconnected in (L,Δ,R). Then there exist K,H∈CO(L,Δ,R) such that 1R=K˜∪H, K˜∩H=0R, and K˜∩G≠0R≠G˜∩H. Since CO(L,Δ,R)⊆CO(L,Δα,R), then K,H∈CO(L,Δα,R). This shows that G is soft weakly disconnected in (L,Δα,R).
Sufficiency. Suppose that G is soft weakly disconnected in (L,Δα,R). Then there exist K,H∈Δα such that 1R=K˜∪H, K˜∩H=0R, and K˜∩G≠0R≠G˜∩H. Since K˜∩H=0R, then IntΔ(K)˜∩IntΔ(H)=0R. So, IntΔ(K)˜∩ClΔ(IntΔ(H))=0R and hence, IntΔ(K)˜∩IntΔ(ClΔ(IntΔ(H)))=0R. Therefore, ClΔ(IntΔ(K))˜∩IntΔ(ClΔ(IntΔ(H)))=0R and thus,
IntΔ(ClΔ(IntΔ(K)))˜∩IntΔ(ClΔ(IntΔ(H)))=0R. Since K,H∈Δα, then K˜⊆IntΔ(ClΔ(IntΔ(K))) and H˜⊆IntΔ(ClΔ(IntΔ(H))). Put S=IntΔ(ClΔ(IntΔ(K))) and T=IntΔ(ClΔ(IntΔ(H))). Then S,T∈Δ, K˜⊆S, H˜⊆T, and S˜∩T=0R. Since 1R=K˜∪H˜⊆S˜∪T, then 1R=S˜∪T. Finally, since K˜∩G≠0R≠G˜∩H, K˜⊆S, and H˜⊆T, then we have S˜∩G≠0R≠G˜∩T. This shows that G is soft weakly disconnected in (L,Δ,R).
Theorem 3.6. Let (L,Δ,R) and (M,Π,B) be soft disconnected and fpu:(L,Δ,R)⟶(M,Π,B) be soft α-continuous. If G is soft weakly connected in (L,Δ,R), then fpu(G) is soft weakly connected in (M,Π,B).
Proof. Suppose to the contrary that fpu(G) is soft weakly disconnected in (M,Π,B). Then there exist K,H∈CO(M,Π,B) such that 1B=K˜∪H, K˜∩H=0B, and K˜∩fpu(G)≠0B≠fpu(G)˜∩H. Hence, f−1pu(K)˜∪f−1pu(H)=f−1pu(K˜∪H)=f−1pu(1B)=1R, f−1pu(K)˜∩f−1pu(H)=f−1pu(K˜∩H)=f−1pu(0B)=0R, and f−1pu(K)˜∩G≠0R≠G˜∩f−1pu(H). Since fpu is soft α-continuous, f−1pu(K),f−1pu(H)∈Δα. This implies that G is soft weakly disconnected in (L,Δα,R). Therefore, by Theorem 3.5, G is soft weakly disconnected in (L,Δ,R), a contradiction.
The study of soft sets and soft topology is particularly significant during the investigation of possible applications in classical and non-classical logic. Soft topological spaces, which are a collection of information granules based on soft set theory, are the mathematical descriptions of approximate reasoning about information systems. Here, the concept of soft weak connectedness as a weaker type of soft connectedness is defined. Several properties and characterizations regarding soft weakly connected sets are introduced. Furthermore, using soft weakly connected sets, soft weakly connected components, it is proven that the family of soft weakly components within a soft topological space comprises soft closed sets, forming a soft partition of the space. In addition, the behavior of soft weak connected sets under soft α-continuity is discussed.
These two new concepts will also serve to strengthen the foundations of the soft topology toolbox. The findings of this paper can be applied to problems with uncertainties in many disciplines, and they will motivate future research into soft topology in order to carry out a generic framework for practical applications.
In the future, we may look at the following topics: (1) Defining soft weakly pre-connected sets, and (2) finding an application for our new two conceptions in the "decision-making problem" or "information systems" or "expert systems".
The authors declare that they have not used Artificial Intelligence tools in the creation of this article.
The authors declare that they have no conflicts of interest.
[1] |
U. Acar, F. Koyuncu, B. Tanay, Soft sets and soft rings, Comput. Math. Appl., 59 (2010), 3458–3463. http://doi.org/10.1016/j.camwa.2010.03.034 doi: 10.1016/j.camwa.2010.03.034
![]() |
[2] |
M. Akdag, A. Ozkan, Soft α-open sets and soft α -continuous functions, Abstr. Appl. Anal., 2014 (2014), 891341. http://doi.org/10.1155/2014/891341 doi: 10.1155/2014/891341
![]() |
[3] |
H. Aktas, N. C. Agman, Soft sets and soft groups, Inform. Sci., 177 (2007), 2726–2735. http://doi.org/10.1016/j.ins.2006.12.008 doi: 10.1016/j.ins.2006.12.008
![]() |
[4] |
S. Al Ghour, A. Bin-Saadon, On some generated soft topological spaces and soft homogeneity, Heliyon, 5 (2019), e02061. https://doi.org/10.1016/j.heliyon.2019.e02061 doi: 10.1016/j.heliyon.2019.e02061
![]() |
[5] |
S. Al Ghour, W. Hamed, On two classes of soft sets in soft topological spaces, Symmetry, 12 (2020), 265. http://doi.org/10.3390/sym12020265 doi: 10.3390/sym12020265
![]() |
[6] |
S. Al Ghour, Z. A. Ameen, Maximal soft compact and maximal soft connected topologies, Appl. Comput. Intell. Soft Comput., 2022 (2022), 9860015. http://doi.org/10.1155/2022/9860015 doi: 10.1155/2022/9860015
![]() |
[7] |
H. H. Al-jarrah, A. Rawshdeh, T. M. Al-shami, On soft compact and soft Lindelof spaces via soft regular closed sets, Afr. Mat., 33 (2022), 23. http://doi.org/10.1007/s13370-021-00952-z doi: 10.1007/s13370-021-00952-z
![]() |
[8] |
T. M. Al-shami, M. E. El-Shafei, Partial belong relation on soft separation axioms and decision-making problem, two birds with one stone, Soft Comput., 24 (2020), 5377–5387. http://doi.org/10.1007/s00500-019-04295-7 doi: 10.1007/s00500-019-04295-7
![]() |
[9] |
T. M. Al-shami, On soft separation axioms and their applications on decision-making problem, Math. Probl. Eng., 2021 (2021), 8876978. http://doi.org/10.1155/2021/8876978 doi: 10.1155/2021/8876978
![]() |
[10] |
T. M. Al-shami, E. S. A. Abo-Tabl, Connectedness and local connectedness on infra soft topological spaces, Mathematics, 9 (2021), 1759. http://doi.org/10.3390/math9151759 doi: 10.3390/math9151759
![]() |
[11] |
T. M. Al-shami, Compactness on soft topological ordered spaces and its application on the information system, J. Math., 2021 (2021), 6699092. http://doi.org/10.1155/2021/6699092 doi: 10.1155/2021/6699092
![]() |
[12] |
T. M. Al-shami, A. Mhemdi, R. Abu-Gdairi, M. E. El-Shafei, Compactness and connectedness via the class of soft somewhat open sets, AIMS Mathematics, 8 (2022), 815–840. http://doi.org/10.3934/math.2023040 doi: 10.3934/math.2023040
![]() |
[13] |
T. M. Al-shami, R. A. Hosny, A. Mhemdi, R. Abu-Gdairi, S. Saleh, Weakly soft b-open sets and their usages via soft topologies: A novel approach, J. Intell. Fuzzy Syst., 45 (2023), 7727–7738. http://doi.org/10.3233/JIFS-230436 doi: 10.3233/JIFS-230436
![]() |
[14] | I. Arockiarani, A. Selvi, On soft slightly πgcontinuous functions, J. Prog. Res. Math., 3 (2015), 168–174. http://scitecresearch.com/journals/index.php/jprm/article/view/105 |
[15] |
A. Aygunoglu, H. Aygun, Some notes on soft topological spaces, Neural Comput. Appl., 21 (2011), 113–119. http://doi.org/10.1007/s00521-011-0722-3 doi: 10.1007/s00521-011-0722-3
![]() |
[16] |
B. Chen, Soft semi-open sets and related properties in soft topological spaces, Appl. Math. Inf. Sci., 7 (2013), 287–294. http://doi.org/10.12785/amis/070136 doi: 10.12785/amis/070136
![]() |
[17] |
M. K. El-Bably, M. I. Ali, E. S. A. Abo-Tabl, New topological approaches to generalized soft rough approximations with medical applications, J. Math., 2021 (2021), 2559495. http://doi.org/10.1155/2021/2559495 doi: 10.1155/2021/2559495
![]() |
[18] |
M. K. El-Bably, R. Abu-Gdairi, M. A. El-Gayar, Medical diagnosis for the problem of Chikungunya disease using soft rough sets, AIMS Mathematics, 8 (2023), 9082–9105. http://doi.org/10.3934/math.2023455 doi: 10.3934/math.2023455
![]() |
[19] |
M. A. El-Gayar, R. Abu-Gdairi, M. K. El-Bably, D. I. Taher, Economic decision-making using rough topological structures, J. Math., 2023 (2023), 4723233. http://doi.org/10.1155/2023/4723233 doi: 10.1155/2023/4723233
![]() |
[20] |
M. E. El-Shafei, T. M. Al-shami, Applications of partial belong and total non-belong relations on soft separation axioms and decision-making problem, Comput. Appl. Math., 39 (2020), 138. http://doi.org/10.1007/s40314-020-01161-3 doi: 10.1007/s40314-020-01161-3
![]() |
[21] |
F. Feng, Y. B. Jun, X. Zhao, Soft semirings, Fuzzy Sets Syst.: Theory Appl., 56 (2008), 2621–2628. http://doi.org/10.1016/j.camwa.2008.05.011 doi: 10.1016/j.camwa.2008.05.011
![]() |
[22] |
S. Hussain, B. Ahmad, Soft separation axioms in soft topological spaces, Hacettepe J. Math. Stat., 44 (2015), 559–568. http://doi.org/10.15672/HJMS.2015449426 doi: 10.15672/HJMS.2015449426
![]() |
[23] |
S. Hussain, A note on soft connectedness, J. Egypt. Math. Soc., 23 (2015), 6–11. http://doi.org/10.1016/j.joems.2014.02.003 doi: 10.1016/j.joems.2014.02.003
![]() |
[24] |
S. Hussain, Binary soft connected spaces and an application of binary soft sets in decision making problem, Fuzzy Inf. Eng., 11 (2019), 506–521. http://doi.org/10.1080/16168658.2020.1773600 doi: 10.1080/16168658.2020.1773600
![]() |
[25] |
M. Irfan Ali, F. Feng, X. Liu, W. K. Min, M. Shabir, On some new operations in soft set theory, Comput. Math. Appl., 57 (2009), 1547–1553. http://doi.org/10.1016/j.camwa.2008.11.009 doi: 10.1016/j.camwa.2008.11.009
![]() |
[26] |
Y. B. Jun, Soft BCK/BCI-algebras, Comput. Math. Appl., 56 (2008), 1408–1413. http://doi.org/10.1016/j.camwa.2008.02.035 doi: 10.1016/j.camwa.2008.02.035
![]() |
[27] |
Y. Jiang, Y. Tang, Q. Chen, J. Wang, S. Tang, Extending soft sets with description logics, Comput. Math. Appl., 59 (2010), 2087–2096. http://doi.org/10.1016/j.camwa.2009.12.014 doi: 10.1016/j.camwa.2009.12.014
![]() |
[28] |
Y. B. Jun, K. J. Lee, C. H. Park, Soft set theory applied to ideals in d-algebras, Comput. Math. Appl., 57 (2009), 367–378. http://doi.org/10.1016/j.camwa.2008.11.002 doi: 10.1016/j.camwa.2008.11.002
![]() |
[29] |
Y. B. Jun, K. J. Lee, A. Khan, Soft ordered semigroups, Math. Logic Quart., 56 (2010), 42–50. http://doi.org/10.1002/malq.200810030 doi: 10.1002/malq.200810030
![]() |
[30] |
Z. Kong, L. Gao, L. Wang, S. Li, The normal parameter reduction of soft sets and its algorithm, Comput. Math. Appl., 56 (2008), 3029–3037. http://doi.org/10.1016/j.camwa.2008.07.013 doi: 10.1016/j.camwa.2008.07.013
![]() |
[31] |
D. V. Kovkov, V. M. Kolbanov, D. A. Molodtsov, Soft sets theory-based optimization, J. Comput. Syst. Sci. Int., 46 (2007), 872–880. http://doi.org/10.1134/S1064230707060032 doi: 10.1134/S1064230707060032
![]() |
[32] |
F. Lin, Soft connected spaces and soft paracompact spaces, Int. J. Math. Sci. Eng. Phys. Sci., 6 (2013), 1–7. http://doi.org/10.5281/zenodo.1335680 doi: 10.5281/zenodo.1335680
![]() |
[33] |
P. K. Maji, R. Biswas, R. Roy, An application of soft sets in decision making problem, Comput. Math. Appl., 44 (2002), 1077–1083. http://doi.org/10.1016/S0898-1221(02)00216-X doi: 10.1016/S0898-1221(02)00216-X
![]() |
[34] |
P. K. Maji, R. Biswas, R. Roy, Soft set theory, Comput. Math. Appl., 45 (2003), 555–562. http://doi.org/10.1016/S0898-1221(03)00016-6 doi: 10.1016/S0898-1221(03)00016-6
![]() |
[35] |
P. Majumdar, S. K. Samanta, Similarity measure of soft sets, New Math. Nat. Comput., 4 (2008), 1–12. http://doi.org/10.1142/S1793005708000908 doi: 10.1142/S1793005708000908
![]() |
[36] |
D. Molodtsov, Soft set theory first results, Comput. Math. Appl., 37 (1999), 9–31. http://doi.org/10.1016/S0898-1221(99)00056-5 doi: 10.1016/S0898-1221(99)00056-5
![]() |
[37] | D. Molodtsov, V. Y. Leonov, D. V. Kovkov, Soft sets technique and its application, Fuzzy Syst. Soft Comput., 1 (2006), 8–39. |
[38] | E. Peyghan, B. Samadi, A. Tayebi, Some results related to soft topological spaces, Facta Univ. Ser. Math. Inform., 29 (2014), 325–336. |
[39] |
M. Riaz, N. Cagman, I. Zareef, M. Aslam, N-soft topology and its applications to multi-criteria group decision making, J. Intell. Fuzzy Syst., 36 (2019), 6521–6536. http://doi.org/10.3233/JIFS-182919 doi: 10.3233/JIFS-182919
![]() |
[40] |
M. Riaz, S. T. Tehrim, On bipolar fuzzy soft topology with decision-making, Soft Comput., 24 (2020), 18259–18272. http://doi.org/10.1007/s00500-020-05342-4 doi: 10.1007/s00500-020-05342-4
![]() |
[41] |
S. Saleh, T. M. Al-Shami, L. R. Flaih, M. Arar, R. Abu-Gdairi, Ri-separation axioms via supra soft topological spaces, J. Math. Comput. Sci., 32 (2024), 263–274. http://doi.org/10.22436/jmcs.032.03.07 doi: 10.22436/jmcs.032.03.07
![]() |
[42] |
A. Sezgin, A. O. Atagun, On operations of soft sets, Comput. Math. Appl., 61 (2011), 1457–1467. http://doi.org/10.1016/j.camwa.2011.01.018 doi: 10.1016/j.camwa.2011.01.018
![]() |
[43] |
M. Shabir, M. Naz, On soft topological spaces, Comput. Math. Appl., 61 (2011), 1786–1799. http://doi.org/10.1016/j.camwa.2011.02.006 doi: 10.1016/j.camwa.2011.02.006
![]() |
[44] | S. S. Thakur, A. S. Rajput, P-connectedness between soft sets, Facta Univ. Ser. Math. Inform., 31 (2016), 335–347. |
[45] |
S. S. Thakur, A. S. Rajput, Connectedness between soft sets, New Math. Nat. Comput., 14 (2018), 53–71. http://doi.org/10.1142/S1793005718500059 doi: 10.1142/S1793005718500059
![]() |
[46] |
Z. Xiao, L. Chen, B. Zhong, S. Ye, Recognition for soft information based on the theory of soft sets, Proceedings of the International Conference on Services Systems and Services Management, 2005, 1104–1106. http://doi.org/10.1109/ICSSSM.2005.1500166 doi: 10.1109/ICSSSM.2005.1500166
![]() |
[47] |
Z. Xiao, K. Gong, S. Xia, Y. Zou, Exclusive disjunctive soft sets, Comput. Math. Appl., 59 (2010), 2128–2137. http://doi.org/10.1016/j.camwa.2009.12.018 doi: 10.1016/j.camwa.2009.12.018
![]() |
[48] |
W. Xu, W. J. Ma, S. Wang, G. Hao, Vague soft sets and their properties, Comput. Math. Appl., 59 (2010), 787–794. http://doi.org/10.1016/j.camwa.2009.10.015 doi: 10.1016/j.camwa.2009.10.015
![]() |
[49] |
H. L. Yang, X. Liao, S. G. Li, On soft continuous mappings and soft connectedness of soft topological spaces, Hacettepe J. Math. Stat., 44 (2015), 385–398. http://doi.org/10.15672/HJMS.2015459876 doi: 10.15672/HJMS.2015459876
![]() |
[50] | E. D. Yildirim, A. C. Guler, O. B. Ozbakir, On soft ˜I-Baire spaces, Ann. Fuzzy Math. Inform., 10 (2015), 109–121. |
[51] |
Y. Zou, Z. Xiao, Data analysis approaches of soft sets under incomplete information, Knowl.-Based Syst., 21 (2008), 941–945. http://doi.org/10.1016/j.knosys.2008.04.004 doi: 10.1016/j.knosys.2008.04.004
![]() |
1. | Alaa M. Abd El-latif, A. A. Azzam, Radwan Abu-Gdairi, M. Aldawood, Mesfer H. Alqahtani, Fucai Lin, New versions of maps and connected spaces via supra soft sd-operators, 2024, 19, 1932-6203, e0304042, 10.1371/journal.pone.0304042 |