In this paper, a new reliability assessing method for structures influenced by both aleatory and epistemic uncertainty simultaneously is developed. To handle hybrid types of uncertainties, chance theory is introduced to define a new hybrid reliability index. By mathematical derivation and theorems proofs, the new index is showed to be effective and compatible with hybrid types of uncertainties. Correspondingly, a generalized first-order second-moment (GFOSM) algorithm is established for practical reliability assessment of structures with hybrid uncertainties. Based on the first two moments of basic variables, the GFOSM method can perform fast and effective reliability assessment without large-scale integration operations and can be considered as an extension and expansion of the traditional FOSM method. Two numerical cases further illustrate the effectiveness and practicability of the proposed method from different perspectives.
Citation: Yubing Chen, Meilin Wen, Qingyuan Zhang, Yu Zhou, Rui Kang. Generalized first-order second-moment method for uncertain random structures[J]. AIMS Mathematics, 2023, 8(6): 13454-13472. doi: 10.3934/math.2023682
[1] | Muajebah Hidan, Abbas Kareem Wanas, Faiz Chaseb Khudher, Gangadharan Murugusundaramoorthy, Mohamed Abdalla . Coefficient bounds for certain families of bi-Bazilevič and bi-Ozaki-close-to-convex functions. AIMS Mathematics, 2024, 9(4): 8134-8147. doi: 10.3934/math.2024395 |
[2] | Abdulmtalb Hussen, Mohammed S. A. Madi, Abobaker M. M. Abominjil . Bounding coefficients for certain subclasses of bi-univalent functions related to Lucas-Balancing polynomials. AIMS Mathematics, 2024, 9(7): 18034-18047. doi: 10.3934/math.2024879 |
[3] | Tariq Al-Hawary, Ala Amourah, Abdullah Alsoboh, Osama Ogilat, Irianto Harny, Maslina Darus . Applications of q−Ultraspherical polynomials to bi-univalent functions defined by q−Saigo's fractional integral operators. AIMS Mathematics, 2024, 9(7): 17063-17075. doi: 10.3934/math.2024828 |
[4] | Abeer O. Badghaish, Abdel Moneim Y. Lashin, Amani Z. Bajamal, Fayzah A. Alshehri . A new subclass of analytic and bi-univalent functions associated with Legendre polynomials. AIMS Mathematics, 2023, 8(10): 23534-23547. doi: 10.3934/math.20231196 |
[5] | Bilal Khan, H. M. Srivastava, Muhammad Tahir, Maslina Darus, Qazi Zahoor Ahmad, Nazar Khan . Applications of a certain q-integral operator to the subclasses of analytic and bi-univalent functions. AIMS Mathematics, 2021, 6(1): 1024-1039. doi: 10.3934/math.2021061 |
[6] | Sheza. M. El-Deeb, Gangadharan Murugusundaramoorthy, Kaliyappan Vijaya, Alhanouf Alburaikan . Certain class of bi-univalent functions defined by quantum calculus operator associated with Faber polynomial. AIMS Mathematics, 2022, 7(2): 2989-3005. doi: 10.3934/math.2022165 |
[7] | Luminiţa-Ioana Cotîrlǎ . New classes of analytic and bi-univalent functions. AIMS Mathematics, 2021, 6(10): 10642-10651. doi: 10.3934/math.2021618 |
[8] | F. Müge Sakar, Arzu Akgül . Based on a family of bi-univalent functions introduced through the Faber polynomial expansions and Noor integral operator. AIMS Mathematics, 2022, 7(4): 5146-5155. doi: 10.3934/math.2022287 |
[9] | Norah Saud Almutairi, Adarey Saud Almutairi, Awatef Shahen, Hanan Darwish . Estimates of coefficients for bi-univalent Ma-Minda-type functions associated with q-Srivastava-Attiya operator. AIMS Mathematics, 2025, 10(3): 7269-7289. doi: 10.3934/math.2025333 |
[10] | Tingting Du, Zhengang Wu . Some identities involving the bi-periodic Fibonacci and Lucas polynomials. AIMS Mathematics, 2023, 8(3): 5838-5846. doi: 10.3934/math.2023294 |
In this paper, a new reliability assessing method for structures influenced by both aleatory and epistemic uncertainty simultaneously is developed. To handle hybrid types of uncertainties, chance theory is introduced to define a new hybrid reliability index. By mathematical derivation and theorems proofs, the new index is showed to be effective and compatible with hybrid types of uncertainties. Correspondingly, a generalized first-order second-moment (GFOSM) algorithm is established for practical reliability assessment of structures with hybrid uncertainties. Based on the first two moments of basic variables, the GFOSM method can perform fast and effective reliability assessment without large-scale integration operations and can be considered as an extension and expansion of the traditional FOSM method. Two numerical cases further illustrate the effectiveness and practicability of the proposed method from different perspectives.
Let A indicate an analytic functions family, which is normalized under the condition f (0)= f′(0)−1=0 in U={z:z∈C and |z |<1} and given by the following Taylor-Maclaurin series:
f (z)=z+∞∑n=2anzn . | (1.1) |
Further, by S we shall denote the class of all functions in A which are univalent in U.
With a view to recalling the principle of subordination between analytic functions, let the functions f and g be analytic in U. Then we say that the function f is subordinate to g if there exists a Schwarz function w(z), analytic in U with
ω(0)=0, |ω(z)|<1, (z∈U) |
such that
f (z)=g (ω(z)). |
We denote this subordination by
f≺g or f (z)≺g (z). |
In particular, if the function g is univalent in U, the above subordination is equivalent to
f (0)=g (0), f (U)⊂g (U). |
The Koebe-One Quarter Theorem [11] asserts that image of U under every univalent function f∈A contains a disc of radius 14. thus every univalent function f has an inverse f−1 satisfying f−1(f(z))=z and f ( f−1 (w))=w (|w|<r 0(f ),r 0(f ) >14 ), where
f−1(w)=w−a2w2+(2a22−a3)w3−(5a32−5a2a3+a4)w4+⋯. | (1.2) |
A function f∈A is said to be bi-univalent functions in U if both f and f−1 are univalent in U. A function f∈S is said to be bi-univalent in U if there exists a function g∈S such that g(z) is an univalent extension of f−1 to U. Let Λ denote the class of bi-univalent functions in U. The functions z1−z, −log(1−z), 12log(1+z1−z) are in the class Λ (see details in [20]). However, the familiar Koebe function is not bi-univalent. Lewin [17] investigated the class of bi-univalent functions Λ and obtained a bound |a2|≤1.51. Motivated by the work of Lewin [17], Brannan and Clunie [9] conjectured that |a2|≤√2. The coefficient estimate problem for |an|(n∈N,n≥3) is still open ([20]). Brannan and Taha [10] also worked on certain subclasses of the bi-univalent function class Λ and obtained estimates for their initial coefficients. Various classes of bi-univalent functions were introduced and studied in recent times, the study of bi-univalent functions gained momentum mainly due to the work of Srivastava et al. [20]. Motivated by this, many researchers [1], [4,5,6,7,8], [13,14,15], [20], [21], and [27,28,29], also the references cited there in) recently investigated several interesting subclasses of the class Λ and found non-sharp estimates on the first two Taylor-Maclaurin coefficients. Recently, many researchers have been exploring bi-univalent functions, few to mention Fibonacci polynomials, Lucas polynomials, Chebyshev polynomials, Pell polynomials, Lucas–Lehmer polynomials, orthogonal polynomials and the other special polynomials and their generalizations are of great importance in a variety of branches such as physics, engineering, architecture, nature, art, number theory, combinatorics and numerical analysis. These polynomials have been studied in several papers from a theoretical point of view (see, for example, [23,24,25,26,27,28,29,30] also see references therein).
We recall the following results relevant for our study as stated in [3].
Let p(x) and q(x) be polynomials with real coefficients. The (p,q)− Lucas polynomials Lp,q,n(x) are defined by the recurrence relation
Lp,q,n(x)=p(x)Lp,q,n−1(x)+q(x)Lp,q,n−2(x)(n≥2), |
from which the first few Lucas polynomials can be found as
Lp,q,0(x)=2,Lp,q,1(x)=p(x),Lp,q,2(x)=p2(x)+2q(x),Lp,q,3(x)=p3(x)+3p(x)q(x),.... | (1.3) |
For the special cases of p(x) and q(x), we can get the polynomials given Lx,1,n(x)≡Ln(x) Lucas polynomials, L2x,1,n(x)≡Dn(x) Pell–Lucas polynomials, L1,2x,n(x)≡jn(x) Jacobsthal–Lucas polynomials, L3x,−2,n(x)≡Fn(x) Fermat–Lucas polynomials, L2x,−1,n(x)≡Tn(x) Chebyshev polynomials first kind.
Lemma 1.1. [16] Let G{L(x)}(z)be the generating function of the (p,q)−Lucas polynomial sequence Lp,q,n(x).Then,
G{L(x)}(z)=∞∑n=0Lp,q,n(x)zn=2−p(x)z1−p(x)z−q(x)z2 |
and
G{L(x)}(z)=G{L(x)}(z)−1=1+∞∑n=1Lp,q,n(x)zn=1+q(x)z21−p(x)z−q(x)z2. |
Definition 1.2. [22] For ϑ≥0, δ∈R, ϑ+iδ≠0 and f∈A, let B(ϑ,δ) denote the class of Bazilevič function if and only if
Re[(zf′(z)f(z))(f(z)z)ϑ+iδ]>0. |
Several authors have researched different subfamilies of the well-known Bazilevič functions of type ϑ from various viewpoints (see [3] and [19]). For Bazilevič functions of order ϑ+iδ, there is no much work associated with Lucas polynomials in the literature. Initiating an exploration of properties of Lucas polynomials associated with Bazilevič functions of order ϑ+iδ is the main goal of this paper. To do so, we take into account the following definitions. In this paper motivated by the very recent work of Altinkaya and Yalcin [3] (also see [18]) we define a new class B(ϑ,δ), bi-Bazilevič function of Λ based on (p,q)− Lucas polynomials as below:
Definition 1.3. For f∈Λ, ϑ≥0, δ∈R, ϑ+iδ≠0 and let B(ϑ,δ) denote the class of Bi-Bazilevič functions of order t and type ϑ+iδ if only if
[(zf′(z)f(z))(f(z)z)ϑ+iδ]≺G{L(x)}(z)(z∈U) | (1.4) |
and
[(zg′(w)g(w))(g(w)w)ϑ+iδ]≺G{L(x)}(w)(w∈U), | (1.5) |
where GLp,q,n(z)∈Φ and the function g is described as g(w)=f−1(w).
Remark 1.4. We note that for δ=0 the class R(ϑ,0)=R(ϑ) is defined by Altinkaya and Yalcin [2].
The class B(0,0)=S∗Λ is defined as follows:
Definition 1.5. A function f∈Λ is said to be in the class S∗Λ, if the following subordinations hold
zf′(z)f(z)≺G{L(x)}(z)(z∈U) |
and
wg′(w)g(w)≺G{L(x)}(w)(w∈U) |
where g(w)=f−1(w).
We begin this section by finding the estimates of the coefficients |a2| and |a3| for functions in the class B(ϑ,δ).
Theorem 2.1. Let the function f(z) given by 1.1 be in the class B(ϑ,δ). Then
|a2|≤p(x)√2p(x)√|{((ϑ+iδ)2+3(ϑ+iδ)+2)−2(ϑ+iδ+1)2}p2(x)−4q(x)(ϑ+iδ+1)2|. |
and
|a3|≤p2(x)(ϑ+1)2+δ2+p(x)√(ϑ+2)2+δ2. |
Proof. Let f∈B(ϑ,δ,x) there exist two analytic functions u,v:U→U with u(0)=0=v(0), such that |u(z)|<1, |v(w)|<1, we can write from (1.4) and (1.5), we have
[(zf′(z)f(z))(f(z)z)ϑ+iδ]=G{L(x)}(z)(z∈U) | (2.1) |
and
[(zg′(w)g(w))(g(w)w)ϑ+iδ]=G{L(x)}(w)(w∈U), | (2.2) |
It is fairly well known that if
|u(z)|=|u1z+u2z2+⋯|<1 |
and
|v(w)|=|v1w+v2w2+⋯|<1. |
then
|uk|≤1and|vk|≤1(k∈N) |
It follows that, so we have
G{L(x)}(u(z))=1+Lp,q,1(x)u(z)+Lp,q,2(x)u2(z)+…=1+Lp,q,1(x)u1z+[Lp,q,1(x)u2+Lp,q,2(x)u21]z2+… | (2.3) |
and
G{L(x)}(v(w))=1+Lp,q,1(x)v(w)+Lp,q,2(x)v2(w)+…=1+Lp,q,1(x)v1w+[Lp,q,1(x)v2+Lp,q,2(x)v21]w2+… | (2.4) |
From the equalities (2.1) and (2.2), we obtain that
[(zf′(z)f(z))(f(z)z)ϑ+iδ]=1+Lp,q,1(x)u1z+[Lp,q,1(x)u2+Lp,q,2(x)u21]z2+…, | (2.5) |
and
[(zg′(w)g(w))(g(w)w)ϑ+iδ]=1+Lp,q,1(x)v1w+[Lp,q,1(x)v2+Lp,q,2(x)v21]w2+…, | (2.6) |
It follows from (2.5) and (2.6) that
(ϑ+iδ+1)a2=Lp,q,1(x)u1,, | (2.7) |
(ϑ+iδ−1)(ϑ+iδ+2)2a22−(ϑ+iδ+2)a3=Lp,q,1(x)u2+Lp,q,2(x)u21, | (2.8) |
and
−(ϑ+iδ+1)a2=Lp,q,1(x)v1, | (2.9) |
(ϑ+iδ+2)(ϑ+iδ+3)2a22+(ϑ+iδ+2)a3=Lp,q,1(x)v2+Lp,q,2(x)v21, | (2.10) |
From (2.7) and (2.9)
u1=−v1 | (2.11) |
and
2(ϑ+iδ+1)2a22=L2p,q,1(x)(u21+v21)., | (2.12) |
by adding (2.8) to (2.10), we get
((ϑ+iδ)2+3(ϑ+iδ)+2)a22=Lp,q,1(x)(u2+v2)+Lp,q,2(x)(u21+v21), | (2.13) |
by using (2.12) in equality (2.13), we have
[((ϑ+iδ)2+3(ϑ+iδ)+2)−2Lp,q,2(x)(ϑ+iδ+1)2L2p,q,1(x)]a22=Lp,q,1(x)(u2+v2), |
a22=L3p,q,1(x)(u2+v2)[((ϑ+iδ)2+3(ϑ+iδ)+2)L2p,q,1(x)−2Lp,q,2(x)(ϑ+iδ+1)2]. | (2.14) |
Thus, from (1.3) and (2.14) we get
|a2|≤p(x)√2p(x)√|{((ϑ+iδ)2+3(ϑ+iδ)+2)−2(ϑ+iδ+1)2}p2(x)−4q(x)(ϑ+iδ+1)2|. |
Next, in order to find the bound on |a3|, by subtracting (2.10) from (2.8), we obtain
2(ϑ+iδ+2)a3−2(ϑ+iδ+2)a22=Lp,q,1(x)(u2−v2)+Lp,q,2(x)(u21−v21)2(ϑ+iδ+2)a3=Lp,q,1(x)(u2−v2)+2(ϑ+iδ+2)a22a3=Lp,q,1(x)(u2−v2)2(ϑ+iδ+2)+a22 | (2.15) |
Then, in view of (2.11) and (2.12), we have from (2.15)
a3=L2p,q,1(x)2(ϑ+iδ+2)2(u21+v21)+Lp,q,1(x)2(ϑ+iδ+2)(u2−v2). |
|a3|≤p2(x)|ϑ+iδ+1|2+p(x)|ϑ+iδ+2|=p2(x)(ϑ+1)2+δ2+p(x)√(ϑ+2)2+δ2 |
This completes the proof.
Taking δ=0, in Theorem 2.1, we get the following corollary.
Corollary 2.2. Let the function f(z) given by (1.1) be in the class B(ϑ). Then
|a2|≤p(x)√2p(x)√|{(ϑ2+3ϑ+2)−2(ϑ+1)2}p2(x)−4q(x)(ϑ+1)2| |
and
|a3|≤p2(x)(ϑ+2)2+p(x)ϑ+2 |
Also, taking ϑ=0 and δ=0, in Theorem 2.1, we get the results given in [18].
Fekete-Szegö inequality is one of the famous problems related to coefficients of univalent analytic functions. It was first given by [12], the classical Fekete-Szegö inequality for the coefficients of f∈S is
|a3−μa22|≤1+2exp(−2μ/(1−μ)) for μ∈[0,1). |
As μ→1−, we have the elementary inequality |a3−a22|≤1. Moreover, the coefficient functional
ςμ(f)=a3−μa22 |
on the normalized analytic functions f in the unit disk U plays an important role in function theory. The problem of maximizing the absolute value of the functional ςμ(f) is called the Fekete-Szegö problem.
In this section, we are ready to find the sharp bounds of Fekete-Szegö functional ςμ(f) defined for f∈B(ϑ,δ) given by (1.1).
Theorem 3.1. Let f given by (1.1) be in the class B(ϑ,δ) and μ∈R. Then
|a3−μa22|≤{p(x)√(ϑ+2)2+δ2, 0≤|h(μ)|≤12√(ϑ+2)2+δ22p(x)|h(μ)|, |h(μ)|≥12√(ϑ+2)2+δ2 |
where
h(μ)=L2p,q,1(x)(1−μ)((ϑ+iδ)2+3(ϑ+iδ)+2)L2p,q,1(x)−2Lp,q,2(x)(ϑ+iδ+1)2. |
Proof. From (2.14) and (2.15), we conclude that
a3−μa22=(1−μ)L3p,q,1(x)(u2+v2)[((ϑ+iδ)2+3(ϑ+iδ)+2)L2p,q,1(x)−2Lp,q,2(x)(ϑ+iδ+1)2]+Lp,q,1(x)2(ϑ+iδ+2)(u2−v2) |
=Lp,q,1(x)[(h(μ)+12(ϑ+iδ+2))u2+(h(μ)−12(ϑ+iδ+2))v2] |
where
h(μ)=L2p,q,1(x)(1−μ)((ϑ+iδ)2+3(ϑ+iδ)+2)L2p,q,1(x)−2Lp,q,2(x)(ϑ+iδ+1)2. |
Then, in view of (1.3), we obtain
|a3−μa22|≤{p(x)√(ϑ+2)2+δ2, 0≤|h(μ)|≤12√(ϑ+2)2+δ22p(x)|h(μ)|, |h(μ)|≥12√(ϑ+2)2+δ2 |
We end this section with some corollaries.
Taking μ=1 in Theorem 3.1, we get the following corollary.
Corollary 3.2. If f∈B(ϑ,δ), then
|a3−a22|≤p(x)√(ϑ+2)2+δ2. |
Taking δ=0 in Theorem 3.1, we get the following corollary.
Corollary 3.3. Let f given by (1.1) be in the class B(ϑ,0). Then
|a3−μa22|≤{p(x)ϑ+2, 0≤|h(μ)|≤12(ϑ+2)2p(x)|h(μ)|, |h(μ)|≥12(ϑ+2) |
Also, taking ϑ=0, δ=0 and μ=1 in Theorem 3.1, we get the following corollary.
Corollary 3.4. Let f given by (1.1) be in the class B. Then
|a3−a22|≤p(x)2. |
All authors declare no conflicts of interest in this paper.
[1] | G. Narayanan, Probabilistic fatigue model for cast alloys of aero engine applications, Int. J. Struct. Integr., 12 (2021), 454–469. |
[2] | Y. Yang, G. Wang, Q. Zhong, H. Zhang, J. He, H. Chen, Reliability analysis of gas pipeline with corrosion defect based on finite element method, Int. J. Struct. Integr., 12 (2021), 854–863. |
[3] | D. Meng, S. Yang, T. Lin, J. Wang, RBMDO using gaussian mixture model-based second-order mean-value saddlepoint approximation, Comput. Model. Eng. Sci., 132 (2022), 553–568. |
[4] | D. Meng, S. Yang, C. He, H. Wang, Z. Lv, Y. Guo, et al., Multidisciplinary design optimization of engineering systems under uncertainty: a review, Int. J. Struct. Integr., 13 (2022), 565–593. |
[5] |
D. Meng, S. Yang, A. de Jesus, S. P. Zhu, A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower, Renew. Energy, 203 (2023), 407–420. https://doi.org/10.1016/j.renene.2022.12.062 doi: 10.1016/j.renene.2022.12.062
![]() |
[6] |
A. Kiureghian, O. Ditlevsen, Aleatory or epistemic? Does it matter, Struct. Saf., 31 (2009), 105–112. https://doi.org/10.1016/j.strusafe.2008.06.020 doi: 10.1016/j.strusafe.2008.06.020
![]() |
[7] |
R. Kang, Q. Zhang, Z. Zeng, Z. Enrico, X. Li, Measuring reliability under epistemic uncertainty: review on non-probabilistic reliability metrics, Chinese J. Aeronaut., 29 (2016), 571–579. https://doi.org/10.1016/j.cja.2016.04.004 doi: 10.1016/j.cja.2016.04.004
![]() |
[8] | R. E. Melchers, A. T. Beck, Structural reliability analysis and prediction, 3 Eds., John Wiley & Sons Ltd, 2018. |
[9] |
W. C. Broding, F. W. Diederich, P. S. Parker, Structural optimization and design based on a reliability design criterion, J. Spacecraft Rockets, 1 (1964), 56–61. https://doi.org/10.2514/3.27592 doi: 10.2514/3.27592
![]() |
[10] | C. A. Cornell, A probability-based structural code, ACI-Abst. Search, 12 (1969), 974–985. |
[11] |
A. M. Hasofer, N. C. Lind, Exact and invariant second-moment code format, J. Eng. Mech., 100 (1974), 111–121. https://doi.org/10.1061/JMCEA3.0001848 doi: 10.1061/JMCEA3.0001848
![]() |
[12] |
R. Rackwitz, B. Fiessler, Structural reliability under combined random load sequences, Comput. Struct., 9 (1978), 489–494. https://doi.org/10.1016/0045-7949(78)90046-9 doi: 10.1016/0045-7949(78)90046-9
![]() |
[13] |
S. Chen, C. Duffield, S. Miramini, B. N. K. Raja, L. Zhang, Life-cycle modelling of concrete cracking and reinforcement corrosion in concrete bridges: a case study, Eng. Struct., 237 (2021), 112143. https://doi.org/10.1016/j.engstruct.2021.112143 doi: 10.1016/j.engstruct.2021.112143
![]() |
[14] |
M. Ricker, T. Feiri, K. Nille-Hauf, V. Adam, J. Hegger, Enhanced reliability assessment of punching shear resistance models for flat slabs without shear reinforcement, Eng. Struct., 226 (2021), 111319. https://doi.org/10.1016/j.engstruct.2020.111319 doi: 10.1016/j.engstruct.2020.111319
![]() |
[15] | M. Nahal, R. Khelif, A finite element model for estimating time-dependent reliability of a corroded pipeline elbow, Int. J. Struct. Integr., 12 (2021), 306–321. |
[16] |
L. Hu, R. Kang, X. Pan, D. Zuo, Uncertainty expression and propagation in the risk assessment of uncertain random system, IEEE Syst. J., 15 (2021), 1604–1615. https://doi.org/10.1109/JSYST.2020.2990679 doi: 10.1109/JSYST.2020.2990679
![]() |
[17] |
C. Cremona, Y. Gao, The possibilistic reliability theory: theoretical aspects and applications, Struct. Saf., 19 (1997), 173–201. https://doi.org/10.1016/S0167-4730(97)00093-3 doi: 10.1016/S0167-4730(97)00093-3
![]() |
[18] | Y. Ben-Haim, I. Elishakoff, Convex, models of uncertainty in applied mechanics, Elsevier, 1990. |
[19] |
H. R. Bae, R. V. Grandhi, R. A. Canfield, An approximation approach for uncertainty quantification using evidence theory, Reliab. Eng. Syst. Safe., 86 (2004), 215–225. https://doi.org/10.1016/j.ress.2004.01.011 doi: 10.1016/j.ress.2004.01.011
![]() |
[20] |
Z. Zeng, M. Wen, R. Kang, Belief reliability: a new metrics for products' reliability, Fuzzy Optim. Decis. Making, 12 (2013), 15–27. https://doi.org/10.1007/s10700-012-9138-5 doi: 10.1007/s10700-012-9138-5
![]() |
[21] |
P. Wang, J. Zhang, H. Zhai, J. Qiu, A new structural reliability index based on uncertainty theory, Chinese J. Aeronaut., 30 (2017), 1451–1458. https://doi.org/10.1016/j.cja.2017.04.008 doi: 10.1016/j.cja.2017.04.008
![]() |
[22] |
Y. Liu, Uncertain random variables: a mixture of uncertainty and randomness, Soft Comput., 4 (2013), 625–634. https://doi.org/10.1007/s00500-012-0935-0 doi: 10.1007/s00500-012-0935-0
![]() |
[23] |
Z. He, H. Ahmadzade, K. Rezaei, H. Rezaei, H. Naderi, Tsallis entropy of uncertain random variables and its application, Soft Comput., 25 (2021), 11735–11743. https://doi.org/10.1007/s00500-021-06070-z doi: 10.1007/s00500-021-06070-z
![]() |
[24] |
Q. Zhang, R. Kang, M. Wen, Belief reliability for uncertain random systems, IEEE Trans. Fuzzy Syst., 26 (2018), 3605–3614. https://doi.org/10.1109/TFUZZ.2018.2838560 doi: 10.1109/TFUZZ.2018.2838560
![]() |
[25] |
Y. Tan, X. Ji, S. Yan, New models of supply chain network design by different decision criteria under hybrid uncertainties, J. Ambient. Intell. Human. Comput., 10 (2019), 2843–2853. https://doi.org/10.1007/s12652-018-1001-2 doi: 10.1007/s12652-018-1001-2
![]() |
[26] |
L. Zhang, J. Zhang, L. You, S. Zhou, Reliability analysis of structures based on a probability-uncertainty hybrid model, Qual. Reliab. Eng. Int., 35 (2019), 263–279. https://doi.org/10.1002/qre.2396 doi: 10.1002/qre.2396
![]() |
[27] | B. Liu, Uncertainty theory, Berlin: Springer-Verlag, 2007. |
[28] | X. Chen, W. Dai, Maximum entropy principle for uncertain variables, Int. J. Fuzzy Syst., 13 (2011), 232–236. |
[29] |
T. Zu, R. Kang, M. Wen, Graduation formula: a new method to construct belief reliability distribution under epistemic uncertainty, J. Syst. Eng. Electron., 31 (2020), 626–633. https://doi.org/10.23919/JSEE.2020.000038 doi: 10.23919/JSEE.2020.000038
![]() |
[30] | Q. Zhang, Belief reliability metric and analysis methods of uncertain random systems, Beijing: Beihang University, M1-Doctor, 2020. |
[31] | B. Liu, Some research problems in uncertainty theory, J. Uncertain Syst., 3 (2009), 3–10. |
1. | Ala Amourah, Basem Aref Frasin, Thabet Abdeljawad, Sivasubramanian Srikandan, Fekete-Szegö Inequality for Analytic and Biunivalent Functions Subordinate to Gegenbauer Polynomials, 2021, 2021, 2314-8888, 1, 10.1155/2021/5574673 | |
2. | Mohamed Illafe, Ala Amourah, Maisarah Haji Mohd, Coefficient Estimates and Fekete–Szegö Functional Inequalities for a Certain Subclass of Analytic and Bi-Univalent Functions, 2022, 11, 2075-1680, 147, 10.3390/axioms11040147 | |
3. | Nazmiye Yilmaz, İbrahim Aktaş, On some new subclasses of bi-univalent functions defined by generalized Bivariate Fibonacci polynomial, 2022, 33, 1012-9405, 10.1007/s13370-022-00993-y | |
4. | Daniel Breaz, Halit Orhan, Luminiţa-Ioana Cotîrlă, Hava Arıkan, A New Subclass of Bi-Univalent Functions Defined by a Certain Integral Operator, 2023, 12, 2075-1680, 172, 10.3390/axioms12020172 | |
5. | Luminiţa-Ioana Cotîrlǎ, Abbas Kareem Wanas, Applications of Laguerre Polynomials for Bazilevič and θ-Pseudo-Starlike Bi-Univalent Functions Associated with Sakaguchi-Type Functions, 2023, 15, 2073-8994, 406, 10.3390/sym15020406 | |
6. | Isra Al-Shbeil, Abbas Kareem Wanas, Afis Saliu, Adriana Cătaş, Applications of Beta Negative Binomial Distribution and Laguerre Polynomials on Ozaki Bi-Close-to-Convex Functions, 2022, 11, 2075-1680, 451, 10.3390/axioms11090451 | |
7. | Tariq Al-Hawary, Ala Amourah, Basem Aref Frasin, Fekete–Szegö inequality for bi-univalent functions by means of Horadam polynomials, 2021, 27, 1405-213X, 10.1007/s40590-021-00385-5 | |
8. | Abbas Kareem Wanas, Luminiţa-Ioana Cotîrlă, Applications of (M,N)-Lucas Polynomials on a Certain Family of Bi-Univalent Functions, 2022, 10, 2227-7390, 595, 10.3390/math10040595 | |
9. | Abbas Kareem Wanas, Haeder Younis Althoby, Fekete-Szegö Problem for Certain New Family of Bi-Univalent Functions, 2022, 2581-8147, 263, 10.34198/ejms.8222.263272 | |
10. | Arzu Akgül, F. Müge Sakar, A new characterization of (P, Q)-Lucas polynomial coefficients of the bi-univalent function class associated with q-analogue of Noor integral operator, 2022, 33, 1012-9405, 10.1007/s13370-022-01016-6 | |
11. | Tariq Al-Hawary, Coefficient bounds and Fekete–Szegö problem for qualitative subclass of bi-univalent functions, 2022, 33, 1012-9405, 10.1007/s13370-021-00934-1 | |
12. | Ala Amourah, Basem Aref Frasin, Tamer M. Seoudy, An Application of Miller–Ross-Type Poisson Distribution on Certain Subclasses of Bi-Univalent Functions Subordinate to Gegenbauer Polynomials, 2022, 10, 2227-7390, 2462, 10.3390/math10142462 | |
13. | Abbas Kareem Wanas, Alina Alb Lupaş, Applications of Laguerre Polynomials on a New Family of Bi-Prestarlike Functions, 2022, 14, 2073-8994, 645, 10.3390/sym14040645 | |
14. | Ibtisam Aldawish, Basem Frasin, Ala Amourah, Bell Distribution Series Defined on Subclasses of Bi-Univalent Functions That Are Subordinate to Horadam Polynomials, 2023, 12, 2075-1680, 362, 10.3390/axioms12040362 | |
15. | Ala Amourah, Omar Alnajar, Maslina Darus, Ala Shdouh, Osama Ogilat, Estimates for the Coefficients of Subclasses Defined by the Bell Distribution of Bi-Univalent Functions Subordinate to Gegenbauer Polynomials, 2023, 11, 2227-7390, 1799, 10.3390/math11081799 | |
16. | Omar Alnajar, Maslina Darus, 2024, 3150, 0094-243X, 020005, 10.1063/5.0228336 | |
17. | Muajebah Hidan, Abbas Kareem Wanas, Faiz Chaseb Khudher, Gangadharan Murugusundaramoorthy, Mohamed Abdalla, Coefficient bounds for certain families of bi-Bazilevič and bi-Ozaki-close-to-convex functions, 2024, 9, 2473-6988, 8134, 10.3934/math.2024395 | |
18. | Ala Amourah, Ibtisam Aldawish, Basem Aref Frasin, Tariq Al-Hawary, Applications of Shell-like Curves Connected with Fibonacci Numbers, 2023, 12, 2075-1680, 639, 10.3390/axioms12070639 | |
19. | Tariq Al-Hawary, Ala Amourah, Abdullah Alsoboh, Osama Ogilat, Irianto Harny, Maslina Darus, Applications of q−Ultraspherical polynomials to bi-univalent functions defined by q−Saigo's fractional integral operators, 2024, 9, 2473-6988, 17063, 10.3934/math.2024828 | |
20. | İbrahim Aktaş, Derya Hamarat, Generalized bivariate Fibonacci polynomial and two new subclasses of bi-univalent functions, 2023, 16, 1793-5571, 10.1142/S1793557123501474 | |
21. | Abbas Kareem Wanas, Fethiye Müge Sakar, Alina Alb Lupaş, Applications Laguerre Polynomials for Families of Bi-Univalent Functions Defined with (p,q)-Wanas Operator, 2023, 12, 2075-1680, 430, 10.3390/axioms12050430 | |
22. | Ala Amourah, Zabidin Salleh, B. A. Frasin, Muhammad Ghaffar Khan, Bakhtiar Ahmad, Subclasses of bi-univalent functions subordinate to gegenbauer polynomials, 2023, 34, 1012-9405, 10.1007/s13370-023-01082-4 | |
23. | Tariq Al-Hawary, Basem Aref Frasin, Abbas Kareem Wanas, Georgia Irina Oros, On Rabotnov fractional exponential function for bi-univalent subclasses, 2023, 16, 1793-5571, 10.1142/S1793557123502170 | |
24. | Tariq Al-Hawary, Ala Amourah, Hasan Almutairi, Basem Frasin, Coefficient Inequalities and Fekete–Szegö-Type Problems for Family of Bi-Univalent Functions, 2023, 15, 2073-8994, 1747, 10.3390/sym15091747 | |
25. | Omar Alnajar, Osama Ogilat, Ala Amourah, Maslina Darus, Maryam Salem Alatawi, The Miller-Ross Poisson distribution and its applications to certain classes of bi-univalent functions related to Horadam polynomials, 2024, 10, 24058440, e28302, 10.1016/j.heliyon.2024.e28302 | |
26. | Tariq Al-Hawary, Basem Frasin, Daniel Breaz, Luminita-Ioana Cotîrlă, Inclusive Subclasses of Bi-Univalent Functions Defined by Error Functions Subordinate to Horadam Polynomials, 2025, 17, 2073-8994, 211, 10.3390/sym17020211 |