Choosing an optimal artificial intelligence (AI) provider involves multiple factors, including scalability, cost, performance, and dependability. To ensure that decisions align with organizational objectives, multi-attribute decision-making (MADM) approaches aid in the systematic evaluation and comparison of AI vendors. Therefore, in this article, we propose a MADM technique based on the framework of the complex intuitionistic fuzzy rough model. This approach effectively manages the complex truth grade and complex false grade along with lower and upper approximation. Furthermore, we introduced aggregation operators based on Dombi t-norm and t-conorm, including complex intuitionistic fuzzy rough (CIFR) Dombi weighted averaging (CIFRDWA), CIFR Dombi ordered weighted averaging (CIFRDOWA), CIFR Dombi weighted geometric (CIFRDWG), and CIFR Dombi ordered weighted geometric (CIFRDOWG) operators, which were integrated into our MADM technique. We then demonstrated the application of this technique in a case study on AI provider selection. To highlight its advantages, we compared our proposed method with other approaches, showing its superiority in handling complex decision-making scenarios.
Citation: Tahir Mahmood, Ahmad Idrees, Majed Albaity, Ubaid ur Rehman. Selection of artificial intelligence provider via multi-attribute decision-making technique under the model of complex intuitionistic fuzzy rough sets[J]. AIMS Mathematics, 2024, 9(11): 33087-33138. doi: 10.3934/math.20241581
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Choosing an optimal artificial intelligence (AI) provider involves multiple factors, including scalability, cost, performance, and dependability. To ensure that decisions align with organizational objectives, multi-attribute decision-making (MADM) approaches aid in the systematic evaluation and comparison of AI vendors. Therefore, in this article, we propose a MADM technique based on the framework of the complex intuitionistic fuzzy rough model. This approach effectively manages the complex truth grade and complex false grade along with lower and upper approximation. Furthermore, we introduced aggregation operators based on Dombi t-norm and t-conorm, including complex intuitionistic fuzzy rough (CIFR) Dombi weighted averaging (CIFRDWA), CIFR Dombi ordered weighted averaging (CIFRDOWA), CIFR Dombi weighted geometric (CIFRDWG), and CIFR Dombi ordered weighted geometric (CIFRDOWG) operators, which were integrated into our MADM technique. We then demonstrated the application of this technique in a case study on AI provider selection. To highlight its advantages, we compared our proposed method with other approaches, showing its superiority in handling complex decision-making scenarios.
The mathematical study of q-calculus has been a subject of top importance for researchers due to its huge applications in unique fields. Few recognized work at the application of q-calculus firstly added through Jackson [4]. Later, q-analysis with geometrical interpretation become diagnosed. Currently, q-calculus has attained the attention researchers due to its massive applications in mathematics and physics. The in-intensity evaluation of q-calculus changed into first of all noted with the aid of Jackson [4,5], wherein he defined q-derivative and q-integral in a totally systematic way. Recently, authors are utilizing the q-integral and q-derivative to study some new sub-families of univalent functions and obtain certain new results, see for example Nadeem et al. [8], Obad et al. [11] and reference therein.
Assume that f∈C. Furthermore, f is normalized analytic, if f along f(0)=0,f′(0)=1 and characterized as
f(z)=z+∞∑j=2ajzj. | (1.1) |
We denote by A, the family of all such functions. Let f∈A be presented as (1.1). Furthermore,
fisunivalent⟺ξ1≠ξ2⟹f(ξ1)≠f(ξ2),∀ ξ1,ξ2∈E. |
We present by S the family of all univalent functions. Let ˜p∈C be analytic. Furthermore, ˜p∈P, iff R(˜p(z))>0, along ˜p(0)=1 and presented as follows:
˜p(z)=1+∞∑j=1cjzj. | (1.2) |
Broadening the idea of P, the family P(α0), 0≤α0<1 defined by
(1−α0)p1+α0=p(z)⟺p∈P(α0),p1∈P, |
for further details one can see [2].
Assume that C, K and S∗ signify the common sub-classes of A, which contains convex, close-to-convex and star-like functions in E. Furthermore, by S∗(α0), we meant the class of starlike functions of order α0, 0≤α0<1, for details, see [1,2] and references therein. Main motivation behind this research work is to extend the concept of Kurki and Owa [6] into q-calculus.
The structure of this paper is organized as follows. For convenience, Section 2 give some material which will be used in upcoming sections along side some recent developments in q-calculus. In Section 3, we will introduce our main classes Cq(α0,β0) and S∗q(α0,β0). In Section 4, we will discuss our main result which include, inclusion relations, q-limits on real parts and integral invariant properties. At the end, we conclude our work.
The concept of Hadamard product (convolution) is critical in GFT and it emerged from
Φ(r2eiθ)=(g∗f)(r2eiθ)=12π∫2π0g(rei(θ−t))f(reit)dt, r<1, |
and
H(z)=∫z0ξ−1h(ξ)dξ, |ξ|<1 |
is integral convolution. Let f be presented as in (1.1), the convolution (f∗g) is characterize as
(f∗g)(ζ)=ζ+∞∑j=2ajbjζj, ζ∈E, |
where
g(ζ)=ζ+b2ζ2+⋯=ζ+∞∑j=2bjζj, | (2.1) |
for details, see [2].
Let h1 and h2 be two functions. Then, h1≺h2⟺∃, ϖ analytic such that ϖ(0)=0, |ϖ(z)|<1, with h1(z)=(h2∘ϖ)(z). It can be found in [1] that, if h2∈S, then
h1(0)=h2(0) and h1(E)⊂h2(E)⟺h1≺h2, |
for more information, see [7].
Assume that q∈(0,1). Furthermore, q-number is characterized as follows:
[υ]q={1−qυ1−q,ifυ∈C,j−1∑k=0qk=1+q+q2+...+qj−1,ifυ=j∈N. | (2.2) |
Utilizing the q-number defined by (2.2), we define the shifted q-factorial as the following:
Assume that q∈(0,1). Furthermore, the shifted q-factorial is denoted and given by
[j]q!={1ifj=0,j∏k=1[k]qifj∈N. |
Let f∈C. Then, utilizing (2.2), the q-derivative of the function f is denoted and defined in [4] as
(Dqf)(ζ)={f(ζ)−f(qζ)(1−q)ζ,ifζ≠0,f′(0),ifζ=0, | (2.3) |
provided that f′(0) exists.
That is
limq⟶1−f(ζ)−f(qζ)(1−q)ζ=limq⟶1−(Dqf)(ζ)=f′(ζ). |
If f∈A defined by (1.1), then,
(Dqf)(ζ)=1+∞∑j=2[j]qajζj,ζ∈E. | (2.4) |
Also, the q-integral of f∈C is defined by
ζ∫0f(t)dqt=ζ(1−q)∞∑i=0qif(qiζ), | (2.5) |
provided that the series converges, see [5].
The q-gamma function is defined by the following recurrence relation:
Γq(ζ+1)=[ζ]qΓq(ζ) and Γq(1)=1. |
In recent years, researcher are utilizing the q-derivative defined by (2.3), in various branches of mathematics very effectively, especially in Geometric Function Theory (GFT). For further developments and discussion about q-derivative defined by (2.3), we can obtain excellent articles produced by famous mathematician like [3,8,9,10,12,13,14] and many more.
Ismail et al. [3] investigated and study the class Cq as
Cq={f∈A:R[Dq(zDqf(z))Dqf(z)]>0,0<q<1,z∈E}. |
If q⟶1−, then Cq=C.
Later, Ramachandran et al. [12] discussed the class Cq(α0), 0≤α0<1, given by
Cq(α0)={f∈A:R(Dq(zDqf(z))Dqf(z))>α0,0<q<1,z∈E}. |
For α0=0, Cq(α0)=Cq.
Now, extending the idea of [13] and by utilizing the q-derivative defined by (2.3), we define the families Cq(α0,β0) and S∗q(α0,β0) as follows:
Definition 2.1. Let f∈A and α0,β0∈R such that 0≤α0<1<β0. Then,
f∈Cq(α0,β0)⟺α0<R(Dq(zDqf(z))Dqf(z))<β0,z∈E. | (2.6) |
It is obvious that if q⟶1−, then Cq(α0,β0)⟶C(α0,β0), see [13]. This means that
Cq(α0,β0)⊂C(α0,β0)⊂C. |
Definition 2.2. Let α0,β0∈R such that 0≤α0<1<β0 and f∈A defined by (1.1). Then,
f∈S∗q(α0,β0)⟺α0<R(zDqf(z)f(z))<β0,z∈E. | (2.7) |
Or equivalently, we can write
f∈Cq(α0,β0)⟺zDqf∈S∗q(α0,β0),z∈E. | (2.8) |
Remark 2.1. From Definitions 2.1 and 2.2, it follows that f∈Cq(α0,β0) or f∈S∗q(α0,β0) iff f fulfills
1+zD2qf(z)Dqf(z)≺1−(2α0−1)z1−qz,1+zD2qf(z)Dqf(z)≺1−(2β0−1)z1−qz, |
or
zDqf(z)f(z)≺1−(2α0−1)z1−qz,zDqf(z)f(z)≺1−(2β0−1)z1−qz, |
for all z∈E.
We now consider q-analogue of the function p defined by [13] as
pq(z)=1+β0−α0πilog(1−qe2πi(1−α0β0−α0)z1−qz). | (2.9) |
Firstly, we fined the series form of (2.9).
Consider
pq(z)=1+β0−α0πilog(1−qe2πi(1−α0β0−α0)z1−qz) | (2.10) |
=1+β0−α0πi[log(1−qe2πi(1−α0β0−α0)z)−log(1−qz)]. | (2.11) |
If we let w=qe2πi(1−α0β0−α0)z, then,
log(1−qe2πi(1−α0β0−α0)z)=log(1−w)=−w−∞∑j=2wjj. |
This implies that
log(1−qe2πi(1−α0β0−α0)z)=−(qe2πi(1−α0β0−α0)z)−∞∑j=2(qe2πi(1−α0β0−α0)z)jj, |
and
−log(1−qz)=qz+∞∑j=2(qz)jj. |
Utilizing these, Eq (2.11) can be written as
pq(z)=1+∞∑j=1β0−α0jπiqj(1−e2nπi(1−α0β0−α0))zj. | (2.12) |
This shows that the pq∈P.
Motivated by this work and other aforementioned articles, the aim in this paper is to keep with the research of a few interesting properties of Cq(α0,β0) and S∗q(α0,β0).
Utilizing the meaning of subordination, we can acquire the accompanying Lemma, which sum up the known results in [6].
Lemma 3.1. Let f∈A be defined by (1.1), 0≤α0<1<β0 and 0<q<1. Then,
f∈S∗q(α0,β0)⟺(zDqf(z)f(z))≺1+β0−α0πilog(1−qe2πi(1−α0β0−α0)z1−qz),z∈E. | (3.1) |
Proof. Assume that ϝ be characterized as
ϝ(z)=1+β0−α0πilog(1−qe2πi(1−α0β0−α0)z1−qz),0≤α0<1<β0. |
At that point it can without much of a stretch seen that function ϝ ia simple and analytic along ϝ(0)=1 in E. Furthermore, note
ϝ(z)=1+β0−α0πilog(1−qe2πi(1−α0β0−α0)z1−qz)=1+β0−α0πilog[eπi(1−α0β0−α0)i(ie−πi(1−α0β0−α0)−qieπi(1−α0β0−α0)z1−qz)]. |
Therefore,
ϝ(z)=1+β0−α0πi[log(eπi(1−α0β0−α0))−logi]+β0−α0πilog[ie−πi(1−α0β0−α0)−qieπi(1−α0β0−α0)z1−qz]=1+β0−α0πi[πi(1−α0β0−α0)−(πi2)]+β0−α0πilog[ie−πi(1−α0β0−α0)−qieπi(1−α0β0−α0)z1−qz]=α0+β02+β0−α0πilog[ie−πi(1−α0β0−α0)−qieπi(1−α0β0−α0)z1−qz]. |
A simple calculation leads us to conclude that ϝ maps E onto the domain Ω defined by
Ω={w:α0<R(w)<β0}. | (3.2) |
Therefore, it follows from the definition of subordination that the inequalities (2.7) and (3.1) are equivalent. This proves the assertion of Lemma 3.1.
Lemma 3.2. Let f∈A and 0≤α0<1<β0. Then,
f∈Cq(α0,β0)⟺(Dq(zDqf(z))Dqf(z))≺1+β0−α0πilog(1−qe2πi(1−α0β0−α0)z1−qz), |
and if p presented as in (2.9) has the structure
pq(z)=1+∞∑j=1Bj(q)zj, | (3.3) |
then,
Bj(q)=β0−α0jπiqj(1−e2jπi(1−α0β0−α0)),j∈N. | (3.4) |
Proof. Proof directly follows by utilizing (2.8), (2.12) and Lemma 3.1.
Example 3.1. Let f be defined as
f(z)=zexp{β0−α0πiz∫01tlog(1−qe2πi(1−α0β0−α0)t1−qt)dqt}. | (3.5) |
This implies that
zDqf(z)f(z)=1+β0−α0πilog(1−qe2πi(1−α0β0−α0)z1−qz),z∈E. |
According to the proof of Lemma 3.1, it can be observed that f given by (3.5) satisfies (2.7), which means that f∈S∗q(α0,β0). Similarly, it can be seen by utilizing Lemma 3.2 that
f(z)=z∫0zexp{β0−α0πiu∫01tlog(1−qe2πi(1−α0β0−α0)t1−qt)dqt}dqu, | (3.6) |
belongs to the class Cq(α0,β0).
Inclusion relations:
In this segment, we study some inclusion relations and furthermore acquire some proved results as special cases. For this, we need below mentioned lemma which is the q-analogue of known result in [7].
Lemma 3.3. Let u,v∈C, such that u≠0 and what's more, ℏ∈H such that R[uℏ(z)+v]>0. Assume that ℘∈P, fulfill
℘(z)+zDqp(z)u℘(z)+v≺ℏ(z)⟹℘(z)≺ℏ(z),z∈E. |
Theorem 3.1. For 0≤α0<1<β0 and 0<q<1,
Cq(α0,β0)⊂S∗q(α0,β0),z∈E. |
Proof. Let f∈Cq(α0,β0). Consider
p(z)=zDqf(z)f(z),p∈P. |
Differentiating q-logarithamically furthermore, after some simplifications, we get
p(z)+zDqp(z)p(z)=Dq(zDqf(z))Dqf(z)≺1+β0−α0πilog(1−qe2πi(1−α0β0−α0)z1−qz),z∈E. |
Note that by utilizing Lemma 3.3 with u=1 and v=0, we have
p(z)≺1+β0−α0πilog(1−qe2πi(1−α0β0−α0)z1−qz),z∈E. |
Consequently,
f∈S∗q(α0,β0),z∈E. |
This completes the proof.
Note for distinct values of parameters in Theorem 3.1, we obtain some notable results, see [2,6,13].
Corollary 3.1. For q⟶1−, 0≤α0<1<β0, we have
C(α0,β0)⊂S∗(α0,β0),z∈E. |
Corollary 3.2. For q⟶1−, α0=0 and β0>1, we have
C(β0)⊂S∗(β1),z∈E, |
where
β1=14[(2β0−1)+√4β20−4β0+9]. |
q-limits on real parts:
In this section, we discuss some q-bounds on real parts for the function f in Cq(α0,β0) and following lemma will be utilize which is the q-analogue of known result of [7].
Lemma 3.4. Let U⊂C×C and let c∈C along R(b)>0. Assume that ℧:C2×E⟶C fulfills
℧(iρ,σ;z)∉U, ∀ρ,σ∈R,σ≤−|b−iρ|2(2R(b)). |
If p(z)=c+c1z+c2z2+... is in P along
℧(p(z),zDqp(z);z)∈U⟹R(p(z))>0,z∈E. |
Lemma 3.5. Let p(z)=∞∑j=1Cjzj and assume that p(E) is a convex domain. Furthermore, let q(z)=∞∑j=1Ajzj is analytic and if q≺p in E. Then,
|Aj|≤|C1|,j=1,2,⋯. |
Theorem 3.2. Suppose f∈A, 0≤α0<1 and
R(Dq(zDqf(z))Dqf(z))>α0,z∈E. | (3.7) |
Then,
R(√Dqf(z))>12−α0,z∈E. | (3.8) |
Proof. Let γ=12−α0 and for 0≤α0<1 implies 12≤γ<1. Let
√Dqf(z)=(1−γ)p(z)+γ,p∈P. |
Differentiating q-logrithmically, we obtain
Dq(zDqf(z))Dqf(z)=1+2(1−γ)zDqp(z)(1−γ)p(z)+γ. |
Let us construct the functional ℧ such that
℧(r,s;z)=1+2(1−γ)s(1−γ)r−γ,r=p(z),s=zDqp(z). |
Utilizing (3.7), we can write
{℧(p(z),zDqp(z);z∈E)}⊂{w∈C:R(w)>α0}=Ωα0. |
Now, ρ,δ∈R with δ≤−(1+ρ2)2, we have
R(℧(iρ,δ))=1+2(1−γ)δ(1−γ)(iρ)+r. |
This implies that
R(℧(iρ,δ;z))=R(1+2(1−γ)δ(1−γ)2ρ2+γ2). |
Utilizing δ≤−(1+ρ2)2, we can write
R(℧(iρ,δ;z))≤1−γ(1−γ)(1+ρ2)(1−γ)2ρ2+γ2. | (3.9) |
Let
g(ρ)=1+ρ2(1−γ)2ρ2+γ2. |
Then, g(−ρ)=g(ρ), which shows that g is even continuous function. Thus,
Dq(g(ρ))=[2]q(2γ−1)ρ[(1−γ)2ρ2+γ2][(1−γ)2q2ρ2+γ2], |
and Dq(g(0))=0. Also, it can be seen that g is increasing function on (0,∞). Since 12≤γ<1, therefore,
1γ2≤g(ρ)<1(1−γ)2,ρ∈R. | (3.10) |
Now by utilizing (3.9) and (3.10), we have
R(℧(iρ,δ;z))≤1−γ(1−γ)g(ρ)≤2−1γ=α0. |
This means that R(℧(iρ,δ;z))∉Ωα0 for all ρ,δ∈R with δ≤−(1+ρ2)2. Thus, by utilizing Lemma 3.4, we conclude that Rp(z)>0, ∀z∈E.
Theorem 3.3. Suppose f∈A be defined by (1.1) and 1<β0<2,
R(Dq(zDqf(z))Dqf(z))<β0,z∈E. |
Then,
R(√Dqf(z))>12−β0,z∈E. |
Proof. Continuing as in Theorem 3.2, we have the result.
Combining Theorems 3.2 and 3.3, we obtain the following result.
Theorem 3.4. Suppose f∈A, 0≤α0<1<β0<2 and
α0<R(Dq(zDqf(z))Dqf(z))<β0,z∈E. |
12−α0<R{√Dqf(z)}<12−β0,z∈E. |
Theorem 3.5. Let f∈A be defined by (1.1) and α0,β0∈R such that 0≤α0<1<β0. If f∈Cq(α0,β0), then,
|aj|≤{|B1|[2]q,ifj=2,|B1|[j]q[j−1]qj−2∏k=1(1+|B1|[k]q),ifj=3,4,5,⋯, |
where |B1| is given by
|B1(q)|=2q(β0−α0)πsinπ(1−α0)β0−α0. | (3.11) |
Proof. Assume that
q(z)=(Dq(zDqf(z))Dqf(z)),q∈P,z∈E. | (3.12) |
Then, by definition of Cq(α0,β0), we obtain
q(z)≺pq(z),z∈E. | (3.13) |
Let pq be defined by (3.3) and Bn(q) is given as in (3.4). If
q(z)=1+∞∑j=2Aj(q)zj, | (3.14) |
by (3.12), we have
Dq(zDqf(z))=q(z)Dq(f(z)). |
Note that by utilizing (1.1), (2.4) and (3.14), one can obtain
1+∞∑j=2[j]q[j−1]qajzj−1=(1+∞∑j=1Aj(q)zj)(1+∞∑j=2[j]qajzj−1). |
Comparing the coefficient of of zj−1 on both sides, we have
[j]q[j−1]qaj=Aj−1(q)+[j]qaj+j−1∑k=2[k]qakAj−k(q)=Aj−1(q)+[j]qaq+[2]qa2Aj−2(q)+[3]qa3Aj−3(q)+⋯+[j−1]qaj−1A1(q). | (3.15) |
This implies that by utilizing Lemma 3.5 with (3.13), we can write
|Aj(q)|≤|B1(q)|, for j=1,2,3,⋯ | (3.16) |
Now by utilizing (3.16) in (3.15) and after some simplifications, we have
|aj|≤|B1(q)|[j]q[j−1]qj−1∑k=2[k−1]q|ak−1|,≤|B1|[j]q[j−1]qj−2∏k=1(1+|B1|[k]q). |
Furthermore, for j=2,3,4,
|a2|≤|B1(q)|[2]q,|a3|≤|B1(q)|[3]q[2]q[1+|B1|],|a4|≤|B1(q)|[4]q[3]q[(1+|B1(q)|)(1+|B1(q)|[2]q)]. |
By utilizing mathematical induction for q-calculus, it can be observed that
|aj|≤|B1(q)|[j]q[j−1]qj−2∏k=1(1+|B1(q)|[k]q), |
which is required.
Remark 3.1. Note that by taking q⟶1− in Theorems 3.2–3.4, we attain remarkable results in ordinary calculus discussed in [6].
Integral invariant properties:
In this portion, we show that the family Cq(α0,β0) is invariant under the q-Bernardi integral operator defined and discussed in [9] is given by
Bq(f(z))=Fc,q(z)=[1+c]qzcz∫0tc−1f(t)dqt, 0<q<1, c∈N. | (3.17) |
Making use of (1.1) and (2.5), we can write
Fc,q(z)=Bq(f(z))=[1+c]qzcz(1−q)∞∑i=0qi(zqi)c−1f(zqi)=[1+c]q(1−q)∞∑i=0qic∞∑j=1qijajzj=∞∑j=1[1+c]q[∞∑j=0(1−q)qi(j+c)]ajzj=∞∑j=1[1+c]q(1−q1−qj+c)ajzj. |
Finally, we obtain
Fc,q(z)=Bq(f(z))=z+∞∑j=2([1+c]q[j+c]q)ajzj. | (3.18) |
For c=1, we obtain
F1,q(z)=[2]qzz∫0f(t)dqt,0<q<1,=z+∞∑j=2([2]q[j+1]q)ajzj. |
It is well known [9] that the radius of convergence R of
∞∑j=1([1+c]q[j+c]q)ajzjand∞∑j=1([2]q[j+1]q)ajzj |
is q and the function given by
ϕq(z)=∞∑j=1([1+c]q[j+c]q)zj, | (3.19) |
belong to the class Cq of q-convex function introduced by [3].
Theorem 3.6. Let f∈A. If f∈Cq(α0,β0), then Fc,q∈Cq(α0,β0), where Fc,q is defined by (3.17).
Proof. Let f∈Cq(α0,β0) and set
p(z)=Dq(zDqFc,q(z)DqFc,q(z),p∈P. | (3.20) |
q-differentiation of (3.17) yields
zDqFc,q(z)+cFc,q(z)=[1+c]qf(z). |
Again q-differentiating and utilizing (3.20), we obtain
[1+c]qDqf(z)=DqFc,q(z)(c+p(z)). |
Now, logarithmic q-differentiation of this yields
p(z)+zDqp(z)c+p(z)=Dq(zDqf(z))Dqf(z),z∈E. |
By utilizing the definition of the class Cq(α0,β0), we have
p(z)+zDqp(z)c+p(z)=Dq(zDqf(z))Dqf(z)≺pq(z). |
Therefore,
p(z)+zDqp(z)c+p(z)≺pq(z),z∈E. |
Consequently, utilizing Lemma 3.3, we have
p(z)≺pq(z),z∈E. |
The proof is complete.
Remark 3.2. Letting q⟶1−, in Theorem 3.6, we obtain a known result from [13].
Corollary 3.3. Let f∈A. If f∈C(α0,β0), then Fc∈C(α0,β0), where Fc is Bernardi integral operator defined in [1].
Also, for q⟶1−, α0=0 and β0=0, we obtain the well known result proved by [1]. It is well known [9] that for 0≤α0<1<β0, 0<q<1 and c∈N, the function (3.19) belong to the class Cq. Utilizing this, we can prove
f∈Cq(α0,β0), ϕq∈Cq⟹(f∗ϕq)∈Cq(α0,β0),f∈S∗q(α0,β0), ϕq∈Cq⟹(f∗ϕq)∈S∗q(α0,β0). |
Remark 3.3. As an example consider the function f∈Cq(α0,β0) defined by (3.6) and ϕq∈Cq given by (3.19), implies (f∗ϕq)∈Cq(α0,β0).
In this article, we mainly focused on q-calculus and utilized this is to study new generalized sub-classes Cq(α0,β0) and S∗q(α0,β0) of q-convex and q-star-like functions. We discussed and study some fundamental properties, for example, inclusion relation, q-coefficient limits on real part, integral preserving properties. We have utilized traditional strategies alongside convolution and differential subordination to demonstrate main results. This work can be extended in post quantum calculus. The path is open for researchers to investigate more on this discipline and associated regions.
The work was supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R52), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
The authors declare that they have no conflicts of interest.
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