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 …

Providing decision-making approaches for the assessment and selection of cloud computing using bipolar complex fuzzy Einstein power aggregation operators

T Mahmood, U ur Rehman - Engineering Applications of Artificial …, 2024 - Elsevier
In the last few years, cloud computing has become more popular. When someone refers to
“the cloud,” which is where personal and professional documents are stored, they are …

A Novel Approach of Picture Fuzzy Sets with Unknown Degree of Weights based on Schweizer-Sklar Aggregation Operators.

A Hussain, S Latif, K Ullah - Journal of Innovative Research in …, 2022 - jirmcs.agasr.org
This work aims to present some new aggregation operators (AOs) by generalizing the theory
of Schweizer-Sklar (SS) aggregation tools. The picture fuzzy set (PFS) is the modified …

An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean

AP Darko, D Liang - International Journal of Intelligent Systems, 2020 - Wiley Online Library
The well‐known Maclaurin symmetric mean (MSM) and the dual MSM (DMSM) are
introduced as important operators to handle multiattribute group decision making (MAGDM) …

Multi-attribute group decision-making based on pythagorean fuzzy rough set and novel schweizer-sklar T-norm and T-conorm

A Hussain, D Pamucar - Journal of Innovative Research in …, 2022 - jirmcs.agasr.org
The Pythagorean fuzzy rough set (PyFRS) is a robust framework that plays a vital role in
reducing the uncertainty from the extracted information from real-life scenarios. In this article …

Multiple attribute group decision making method based on intuitionistic fuzzy Einstein interactive operations

P Liu, P Wang - International Journal of Fuzzy Systems, 2020 - Springer
The intuitionistic fuzzy numbers (IFNs) have been extensively studied in recent years.
However, the traditional operational rules (ORs) of the IFNs still have some drawbacks in …

An extended WASPAS approach for teaching quality evaluation based on pythagorean fuzzy reducible weighted Maclaurin symmetric mean

D Wei, Y Rong, H Garg, J Liu - Journal of Intelligent & Fuzzy …, 2022 - content.iospress.com
Teaching quality evaluation (TQE) can not only improve teachers' teaching skills, but also
provide an important reference for school teaching management departments to formulate …

Some q‐rung interval‐valued orthopair fuzzy Maclaurin symmetric mean operators and their applications to multiple attribute group decision making

J Wang, G Wei, R Wang, FE Alsaadi… - … Journal of Intelligent …, 2019 - Wiley Online Library
In this paper, according to the Maclaurin symmetric mean (MSM) operator, the dual MSM
(DMSM) operator and the q‐rung interval‐valued orthopair fuzzy set (q‐RIVOFS), we …

A parametric method for ranking intuitionistic fuzzy numbers and its application to solve intuitionistic fuzzy network data envelopment analysis models

B Shakouri, R Abbasi Shureshjani, B Daneshian… - …, 2020 - Wiley Online Library
In this study, a new parametric method is proposed to rank intuitionistic fuzzy numbers in a
general form. One of the advantages of the proposed method is that the decision maker's …

Multiple Attribute Group Decision‐Making Based on Intuitionistic Fuzzy Schweizer‐Sklar Generalized Power Aggregation Operators

Q Khan, H Khattak, AA AlZubi… - … Problems in Engineering, 2022 - Wiley Online Library
An intuitionistic fuzzy set (IFS) is a valuable tool to execute uncertain and indeterminate
information. IFSs are more suitable to identify decision‐maker's evaluation data in decision …