Some q-rung orthopair fuzzy Hamacher aggregation operators and their application to multiple attribute group decision making with modified EDAS method
To provide a larger space for decision makers, q-rung orthopair fuzzy sets (q-ROFS) can
express their uncertain information. As a generalization of the algebraic operations, and the …
express their uncertain information. As a generalization of the algebraic operations, and the …
[HTML][HTML] Schweizer-Sklar prioritized aggregation operators for intuitionistic fuzzy information and their application in multi-attribute decision-making
The theory of SS t-norm and t-conorm was derived by Schweizer and Sklar in 1960 by
involving a parameter Γ¯¯, which are more flexible and valuable to manage awkward and …
involving a parameter Γ¯¯, which are more flexible and valuable to manage awkward and …
[HTML][HTML] Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source …
Selecting the optimal renewable energy source (RES) is a complex multi-criteria decision-
making (MCDM) problem due to the association of diverse conflicting criteria with uncertain …
making (MCDM) problem due to the association of diverse conflicting criteria with uncertain …
Pythagorean fuzzy Schweizer and Sklar power aggregation operators for solving multi-attribute decision-making problems
The objective of this paper is to develop Pythagorean fuzzy (PF) aggregation operators,
utilizing the concept of power aggregation operators through Schweizer and Sklar (SS) …
utilizing the concept of power aggregation operators through Schweizer and Sklar (SS) …
Maclaurin symmetric mean aggregation operators based on novel frank T-norm and T-conorm for picture fuzzy multiple-attribute group decision-making
M Sarfraz - Decision Making Advances, 2024 - dma-journal.org
The proposed study introduces innovative Maclaurin symmetrical mean aggregation
operators (MSMAO) in picture fuzzy multiple-attribute group decision-making. These …
operators (MSMAO) in picture fuzzy multiple-attribute group decision-making. These …
Some T‐spherical fuzzy Einstein interactive aggregation operators and their application to selection of photovoltaic cells
S Zeng, M Munir, T Mahmood… - … Problems in Engineering, 2020 - Wiley Online Library
In this article, it is pointed out that the existing intuitionistic fuzzy and T‐spherical fuzzy
Einstein averaging and geometric operators have some limitations. To overcome these …
Einstein averaging and geometric operators have some limitations. To overcome these …
[HTML][HTML] A novel approached based on T-spherical fuzzy Schweizer-Sklar power Heronian mean operator for evaluating water reuse applications under uncertainty
The T-Spherical Fuzzy set (T-SPHFS) is one of the core simplifications of quite a lot of fuzzy
concepts such as fuzzy set (FS), intuitionistic fuzzy set (ITFS), picture fuzzy set (PIFS), Q-rung …
concepts such as fuzzy set (FS), intuitionistic fuzzy set (ITFS), picture fuzzy set (PIFS), Q-rung …
An extended WASPAS approach for teaching quality evaluation based on pythagorean fuzzy reducible weighted Maclaurin symmetric mean
Teaching quality evaluation (TQE) can not only improve teachers' teaching skills, but also
provide an important reference for school teaching management departments to formulate …
provide an important reference for school teaching management departments to formulate …
An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean
The well‐known Maclaurin symmetric mean (MSM) and the dual MSM (DMSM) are
introduced as important operators to handle multiattribute group decision making (MAGDM) …
introduced as important operators to handle multiattribute group decision making (MAGDM) …
A review on fuzzy preference modeling methods for group decision-making
G Wang, L Wu, Y Liu, X Ye - Journal of Intelligent & Fuzzy …, 2021 - content.iospress.com
With the rise of group decision-making and the increasingly complex decision-making
environment, preference modeling for decision makers has become more and more …
environment, preference modeling for decision makers has become more and more …