Paper Info
Title
A New Decision-Making Model Using Complex Intuitionistic Fuzzy Hamacher Aggregation Operators
Abstract
Aggregation operators are the standard mathematical tool for the combination of several inputs into one unique output. This paper presents some aggregation operators for complex intuitionistic fuzzy (CIF) information. Complex intuitionistic fuzzy set (CIFS) theory has a large ability to capture vagueness since it can represent the complete specifications of problems with both intuitionistic uncertainty and periodicity. We introduce the CIF Hamacher weighted averaging (CIFHWA) operator, CIF Hamacher ordered weighted averaging (CIFHOWA) operator, CIF Hamacher weighted geometric (CIFHWG) operator and CIF Hamacher ordered weighted geometric (CIFHOWG) operator. We bring to light some remarkable properties of these operators and explicitly state some noteworthy special cases. Moreover, we contribute to the advancement of multi-attribute decision-making (MADM) with a novel proposal of an algorithm in the CIF environment. Furthermore, we consider and solve a MADM problem that finds the best source for generation of electricity with the aid of the proposed operators, thus proving their usefulness for the purpose of decision-making. Finally, we check the effectiveness of these operators by a validity test.
Year
DOI
Venue
2021
10.1007/s00500-021-05658-9
SOFT COMPUTING
Keywords
DocType
Volume
Complex intuitionistic fuzzy model, Hamacher aggregation operators, Hamacher sum, Hamacher product
Journal
25
Issue
ISSN
Citations 
10
1432-7643
1
PageRank 
References 
Authors
0.35
0
3
Name
Order
Citations
PageRank
Muhammad Akram16315.02
Xindong Peng2287.11
Aqsa Sattar310.35