Generalized orthopair fuzzy sets based on Hamacher T-norm and T-conorm

: The concept of q-rung orthopair fuzzy sets generalizes the notions of intuitionistic fuzzy sets and Pythagorean fuzzy sets to describe complicated uncertain information more effectively. Their most dominant attribute is that the sum of the q th power of the truth-membership and the q th power of the falsity-membership must be equal to or less than one, so they can broaden the space of uncertain data. This set can adjust the range of indication of decision data by changing the parameter q , q ≥ 1. In this paper, we deﬁne the Hamacher operations of q-rung orthopair fuzzy sets and proved some desirable properties of these operations, such as commutativity, idempotency, and monotonicity. Further, we proved De Morgan’s laws for these operations over complement. Furthermore, we deﬁned the Hamacher scalar multiplication ( n . h A ) and Hamacher exponentiation ( A ∧ h n ) operations on q-rung orthopair fuzzy sets and investigated their algebraic properties. Finally, we deﬁned the necessity and possibility operators based on q-rung orthopair fuzzy sets and some properties of Hamacher operations that are considered.


Introduction
Z adeh fuzzy set (FS) has acquired greater attention by researchers in a wide range of scientific areas, including management sciences, robotics, decision theory and many other disciplines [1]. FSs were further generalized to intuitionistic fuzzy sets (IFSs) by Atanassov [2] in 1983. An IFS is distinguished by a truth-membership (T) and falsity-membership (F) satisfying the condition that the sum of both membership degrees should not exceed one. IF values play an important role in both theoretical and practical progress of IFSs. Applications of IFSs appear in various fields, including medical diagnosis, optimization problems, and decision-making. Recently, Liu et al., [3] introduced and explored various types of centroid transformations of IF values. However, in many practical decision-making problems, the sum of truth-membership and falsity-membership may not be less than one, but the sum of their squares may be less than one. To handle such types of difficulties, Yager [4,5] introduced the novel concept of Pythagorean fuzzy sets (PFSs), which is the generalization of IFSs.
Compensating the constraint that the summation of both membership degrees does not exceed one and that the sum of squares of the membership degrees should not be greater than one makes PFSs more powerful, generalizable, and effective. Zhang and Xu [6] studied various binary operations over PFS and also proposed a decision making algorithm based on PFS. Zeng et al., [7] developed a hybrid method for Pythagorean fuzzy multiple-criteria decision making. Garg [8] defined the new generalized Pythagorean fuzzy information aggregation by using Einstein Operations. A generalized union and a generalized intersection on PFSs can be constructed from a general t-norm and t-conorm. Hamacher operations [9], including Hamacher product and Hamacher sum, are good alternatives to the algebraic product and algebraic sum, respectively. Gao [10] proposed some Pythagorean fuzzy Hamacher prioritized aggregation operators in MADM. In recent years, many researchers studied the Hamacher aggregation operators and their applications [11][12][13][14].
PFSs can deal with various real-life problems more effectively, still there are cases that cannot be handled using PFSs. Take an example: The truth-membership and falsity-membership values suggested by a decision-maker are 0.8 and 0.9, respectively. Then, the problem can never be handled by means of PFSs, as (0.8) 2 + (0.9) 2 = 1.45 > 1. In order to deal with such types of cases, Yager [15] submitted the idea of q-rung orthopair fuzzy sets (q-ROFSs). A q-ROFS is represented by means of two membership degrees; one is the truth and the other is falsity, with the characteristic that the summation of the q th power of truth-membership and the q th power of falsity-membership should not be greater than one. Thus, q-ROFSs extend the concepts of IFSs and PFSs, so that the uncertain information can be dealt with in a widened range. We can see that the IFS and PFS are special cases of q-ROFS. As q-rung increases, the range of processing fuzzy information increases. The acceptable space for different types of fuzzy numbers is shown in the Figure 1. IFS, PFS, and q-ROFS are abbreviations of intuitionistic fuzzy number, Pythagorean fuzzy number, and q-rung orthopair fuzzy number, respectively. Therefore, it can be seen that q-ROFS has stronger capability in dealing with uncertain information than the IFS and PFS. After that, Liu and Wang [16] developed and applied certain simple weighted operators to aggregate q-ROFSs in decision-making. This set can adjust the range of indication of decision data by changing the parameter q, q ≥ 1. Wei et al., [17] defined q-rung orthopair fuzzy Heronian mean operators in multiple attribute decision-making.
In this paper, we propose the concepts of q-rung orthopair fuzzy Hamacher operations and investigates their desirable properties. This paper is arranged as follows; In Section 2, some basic concepts of q-rung orthopair fuzzy sets and Hamacher operations. In Section 3, we define the Hamacher operations of q-rung orthopair fuzzy sets and studied some desirable properties. In Section 4, on complement of q-rung orthopair fuzzy sets are studied. In Section 5, we constructed Hamacher scalar multiplication (n. h A) and Hamacher exponentiation (A ∧ h n ) operations of q-rung orthopair fuzzy set A and investigated their algebraic properties. In Section 6, some properties of necessity and possibility operators on q-rung orthopair fuzzy sets are proved. In Section 7, comparison analysis of the proposed model with IF and PF models. Section 8 concludes the paper and some future directions are presented in Section 9.

Preliminaries
In this section, some basic concepts of q-rung orthopair fuzzy sets and Hamacher operations. Definition 1. [15] A q-rung orthopair fuzzy set A on a universe X is an object of the form 1] is called the degree of non-membership of x in A, and where µ A (x) and ν A (x) satisfy the following condition;

Hamacher operations
T-norm and T-conorm are an important notion in the intuitionistic fuzzy set theory, which is used to define a generalized union and intersection of intuitionistic fuzzy sets [18]. Roychowdhury and Wang [19] gave the definition and conditions of t − norm and t − conorm. Deschrijver and Kerre [20] introduced and analyzed the properties of a generalized union and a generalized intersection of intuitionistic fuzzy sets using the general triangular norm (t − norm) and triangular conorm (t − conorm). Hamacher [9] proposed a more generalized t − norm and t − conorm. Hamacher operation includes the Hamacher product and Hamacher sum, which are examples of t − norms and t − conorms, respectively. Hamacher product is a t − norm and Hamacher sum ⊕ is a t − conorm and are defined as; respectively. Especially, when γ = 1, then Hamacher t-norm and t-conorm will reduce to which are the algebraic t-norm and t-conorm respectively. When γ = 2, then Hamacher t-norm and t-conorm will reduce to which are called the Einstin t-norm and t-conorm respectively.

Hamacher operations of q-rung orthopair fuzzy sets
In this section, we define the Hamacher operations of q-rung orthopair fuzzy sets and analyze some desirable properties.

Definition 2. Let
) |x ∈ X} be any two q-rung orthopair fuzzy sets, then we have (i) The Hamacher sum of A and B is defined by for all x ∈ X (q ≥ 1), and (ii) The Hamacher product of A and B is defined by for all x ∈ X (q ≥ 1).
Let A ∈ q − ROFS(X) denote the set of all the q-rung orthopair fuzzy sets. Lemma 1. For any two real numbers a, b ∈ [0, 1], the following inequality holds;

Lemma 2.
If A ⊆ B, then for any three real numbers a, b, c ∈ [0, 1], the following inequalities hold; (i) a q c q a q + c q − a q c q The relation between Hamacher sum and Hamacher product is established by the following theorem.
Proof. By using Lemma (1), we have By Definition (2), it follows that A h B ⊆ A h B.

Proof. (i)
(ii) It can be proved similarly.
The operations Hamacher sum and Hamacher product of q-ROFSs are commutative as well as associative, and the identities for h and h exist. The following theorems are obvious: The set of all q-ROFSs with respect to the Hamacher sum and Hamacher product forms a commutative monoid.
(ii) It can be proved similarly.

On complement of q-rung orthopair fuzzy sets
In this section, the complement of a q-rung orthopair fuzzy set is used to analyze the complementing nature of any system. Using the following results, we can study the complementing nature of a system with the help of the original q-rung orthopair fuzzy set. The operator complement obey De Morgan's law for the operations h and h . This is established in the following theorem. Proof.

Scalar multiplication and Exponentiation operations on q-rung orthopair fuzzy sets
We defined the following operations over Hamacher operations on q-ROFSs. In this section, we construct Hamacher scalar multiplication (n. h A) and Hamacher exponentiation (A ∩ h n ) operations on q-rung orthopair fuzzy set A and investigate their algebraic properties.
Based on the Definition (2), Hamacher sum and Hamacher product over two q-ROFSs A and B are further indicated as the following operations. Theorem 9. If n is any positive number and A is a q-ROFS of X, then the Hamacher scalar multiplication operation (. h ) is a mapping from R + × X to X: , and the result of n. h A is also a q-ROFS even if n is any positive real numbers.
Proof. Mathematical induction can be used to prove that the Equation (1) holds for all positive integer n. The Equation (1) is called P(n). Using Definition 2(i) of Hamacher sum (A h B), we have Hence P(n) holds.
Suppose that Equation (1) holds for n = m, i.e., So, when n = m + 1, also holds. Hence, using the induction hypothesis, P(n) holds for any positive integer n.

Theorem 10.
If n is any positive integer and A is a q-ROFS of X, then the Hamacher exponentiation operation (∧ h ) is a mapping from Z + × X to X: where Proof. Mathematical induction can be used to prove that the Equation (2) holds for all positive integer n. The Equation (2) is called P(n). Using Definition 2(ii) of Hamacher product (A h B), we have Hence P(n) holds.
Suppose that the Equation (2) holds for n = m, i. e., so, when n = m + 1, also holds. Hence, using the induction hypothesis, P(n) holds for any positive integer n.
Next, we prove the result of (n. h A) and (A ∧ h n ) are also FFMs.
Theorem 11. For any q-ROFS A and for any positive integer n, (n. h A) and (A ∧ h n ) are q-ROFSs.
Hence, (n. h )A and (A ∧ h n ) are q-ROFSs. Theorem 12. If A, B ∈ q − ROFS(X), then for any positive integers n, n 1 , n 2 , we have Proof. We shall prove (i), (ii), (v) and (iii), (iv), (vi) can be proved analogously. (i) By Equations (1) and (2), we have Further, we can get (1) and (2), we have Since B h C = (n. h A) h (n. h B), so we get Further, we can get Comparing above results, we finally get (n. h A) h (n. h B) = n. h (A h B).
(v) By Equations (1) and (2), we have Further we can get so we finally get n 2 . h (n 1 . h A) = (n 1 n 2 ). h A. Theorem 13. If A, B ∈ q − ROFS(X), then for any positive integer n, we have Proof. We shall prove (ii), (iv) and (i), (iii) can be proved analogously. and Comparing Equations (3) and (4), we get and Comparing Equations (5) and (6), we get

Necessity and possibility operators on q-rung orthopair fuzzy sets
In this section, we defined the necessity and possibility operators on q-rung orthopair fuzzy sets and investigated several properties of Hamacher operations.

Definition 3.
For any q-rung orthopair fuzzy set A, the necessity (2) and the possibility (3) operators are defined as follows;

Proof. (i)
Hence the theorem is proved.
Hence the theorem is proved.
Hence the theorem is proved.

Conclusion
A q-ROFS model is an extension of the IF and PF models. However, the IFSs and PFSs are all good ways to deal with fuzzy information, but q-ROFSs are more general as compared to these classical models, because when q = 1, the model reduces to the IF model, and when q = 2, it reduces to the PF model. In this research article, we have applied the more generalized and powerful concept of q-ROFSs to the most productive theory of Hamacher operations. The work has extended the Hamacher operation results under q-rung orthopair fuzzy environment. In this paper, we have developed the Hamacher operations on q-rung orthopair fuzzy sets and investigated their algebraic properties. We also proved that the set of all q-ROFSs with respect to Hamacher sum and Hamacher product forms a commutative monoid. A study of the algebraic structure of q-ROFSs with respect to Hamacher operations gives us a deep insight into the applications. Further, we constructed Hamacher scalar multiplication (n. h A) and Hamacher exponentiation (A ∧ h n ) operations on q-rung orthopair fuzzy set A and investigated their algebraic properties. Finally, we defined the necessity and possibility operators based on Hamacher q-rung orthopair fuzzy sets and several properties are verified.

Future scope
Thus there remains scope for studying more properties of these sets arising from those other defining set operations that may be thought of using other ways of combining the functions µ; ν. In further research, we may apply these operators in the field of different areas, for example, dynamic decision and consensus , business and marketing management, design, engineering and manufacturing, information technology and networking applications, human resources management, military applications, energy management, geographic information system applications etc.
Conflicts of Interest: "The author declares no conflict of interest".