Complex q-Rung Orthopair Fuzzy Aczel–Alsina Aggregation Operators and Its Application to Multiple Criteria Decision-Making With Unknown Weight Information
Author:
Affiliation:
1. Institute of Numerical Sciences, Kohat University of Science and Technology, Kohat, Pakistan
2. Deanship of Joint First Year, Umm Al-Qura University, Mecca, Saudi Arabia
Funder
Deanship of Scientific Research at Umm Al-Qura University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09852452.pdf?arnumber=9852452
Reference61 articles.
1. Q-rung orthopair fuzzy Frank aggregation operators and its application in multiple attribute decision-making with unknown attribute weights
2. Induced hesitant interval-valued fuzzy Einstein aggregation operators and their application to multiple attribute decision making
3. Maclaurin symmetric mean operators and their applications in the environment of complex q-rung orthopair fuzzy sets
4. On some distance measures of complex Pythagorean fuzzy sets and their applications in pattern recognition
5. Generalized Geometric Aggregation Operators Based on T-Norm Operations for Complex Intuitionistic Fuzzy Sets and Their Application to Decision-making
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