Certain Results on Fuzzy p -Valent Functions Involving the Linear Operator

: The idea of fuzzy differential subordination is a generalisation of the traditional idea of differential subordination that evolved in recent years as a result of incorporating the idea of fuzzy set into the ﬁeld of geometric function theory. In this investigation, we deﬁne some general classes of p -valent analytic functions deﬁned by the fuzzy subordination and generalizes the various classical results of the multivalent functions. Our main focus is to deﬁne fuzzy multivalent functions and discuss some interesting inclusion results and various other useful properties of some subclasses of fuzzy p -valent functions, which are deﬁned here by means of a certain generalized Srivastava-Attiya operator. Additionally, links between the signiﬁcant ﬁndings of this study and preceding ones are also pointed out.


Introduction
The theory of fuzzy sets was introduced in an article by Lotfi A. Zadeh that was published in 1965 [1].The relationship between fuzzy sets theory and the field of complex analysis that it is connected to has emerged in response to the numerous attempts by scholars to connect this theory with diverse fields of mathematics was founded in 2011 [2] to analyse geometric characteristics of analytic functions.The authors in [3,4] introduced the concept of differential subordination.G.I. Oros and Gh.Oros [2] researched the idea of fuzzy subordination in 2011, and the same authors [5] introduced the idea of fuzzy differential subordination in 2012.The history of the idea of a fuzzy set and its ties to various scientific and technical fields are nicely reviewed in the 2017 paper [6], including references to the findings made up to that point to the fuzzy differential subordination concept.The initial results supported the direction of the research, adapting the conventional theory of differential subordination to the novel features of fuzzy differential subordination, and providing methods for examining the dominants and best dominants of fuzzy differential subordinations [7], without which the research would not have been able to proceed.Following that, the particular form of Briot-Bouquet fuzzy differential subordinations was examined [8].In [9], the scholar adopted the concept and begun to look into the new findings on fuzzy differential subordinations.Furthermore, the study of fuzzy differential subordinations associated with different operators [10,11] became a new direction of this field.Numerous studies [12][13][14] carried out the investigations employing certain linear operators.Furthermore, the work of several scholars about the fuzzy differential subordination is referred to the readers, for example, see [15][16][17][18][19][20][21][22][23][24][25][26].The idea of a fuzzy set has been introduced for the first time in research on the geometric theory of analytic functions with the concept of fuzzy differential subordination.In motivation of the above mentioned work, we define fuzzy multivalent functions and study certain classical results of multivalent functions with concept of fuzzy differential subordination.
Let ∇ = {κ : |κ| < 1} be the open unit disk and A p (p be a positive integer) denotes the class of analytic functions f(κ) in ∇ with the following series form Particularly A p = A, for p = 1; where A be the class of normalized analytic functions in ∇.The subclasses of A p of p-valent starlike functions and p-valent convex functions are denoted by ST p and CV p , respectively.
Here, we provide an overview of some important fundamental ideas connected to our work.

Definition 1 ([27]
).A mapping F is said to be fuzzy subset on In other words, it is defined as; Definition 2 ([27]).A pair (U, F U ) is said to be a fuzzy subset on Y, where Miller and Mocanu [28] introduced the subordination technique between two analytic functions h and g as; if h(κ) = g(κ(κ)), where κ(κ) is a Schwartz function in ∇, then h is subordinate to g, and is denoted by h ≺ g.
The generalization of subordination technique of analytic functions in terms of fuzzy notion was defined by Oros and Oros [5] as the following.
, where κ 0 ∈ R be a fixed point, then h is fuzzy subordinate to g, and is denoted by h ≺ F g. where is called generalized Hurwitz-Lerch Zeta function and " * " denotes Hadamard product (or convolution).
The following identity can be implied from (2).
Now, we introduce the following classes by using the principle of fuzzy subordination.We denoted by Π, the class of analytic functions g(κ) which are univalent convex functions in ∇ with g(κ) = 1 and Re(g(κ)) > 0 in ∇.Now, for g(κ) ∈ Π, F : C → [0, 1], b, p ∈ N and s ≥ 0, we define: Furthermore, and It is noted that Particularly, for g(κ) = 1+κ 1−κ , the classes FCV p (g) and FST p (g) reduce to the classes FCV p and FST p , of the fuzzy p-valent convex and the fuzzy p-valent starlike functions, respectively.
Here, we define some new classes of fuzzy p-valent functions involving the operator J p s,b , given by (2), as the following.Definition 6.Let f ∈ A p , b > −1 and s be a real.Then and It is clear that Particularly, if s = 0, then FM p α (s, b; g) = FM p α (g), FST p (s, b; g) = FST p (g) and FCV p (s, b; g) = FCV p (g).Moreover, if p = 1, then the classes FM p α (g), FST p (g) and FCV p (g) reduce to the classes FM α (g), FST(g) and FCV(g) studied by authors in [20].

Main Results
The proof of our main findings requires the use of the following lemma.
. This is our required result.
Proof.For α 1 = 0, it is obviously true from the previous theorem.Let f ∈ FM p α 2 (s, b; g).Then, by definition, we have Now, we can easily write where we have used (9) and (10) implies This proves the theorem.
Thus, on employing Theorem 1, we get FCV p (s, b; g) ⊂ FS p T(s, b; g).Now, we discuss certain inclusion results for the subclasses defined in Definition 6.
In particular, for p = 1, we get the following result proved in [20] from the above theorems.
Corollary 2. Let b ∈ N, s > 0, and let g ∈ Π.Then, On some simple calculations of (15), we get We take logarithmic differentiation and have Our required result implies from (18).
When p = 1 and s = 0. We get the following result.
For p = 1, we have the following result.

Conclusions
The concept of a fuzzy subset is used to define certain subclasses of multivalent functions.We have applied the generalized Srivastava-Attiya operator and introduced several