Details

Title

Dual hesitant pythagorean fuzzy Hamacher aggregation operators in multiple attribute decision making

Journal title

Archives of Control Sciences

Yearbook

2017

Numer

No 3

Publication authors

Divisions of PAS

Nauki Techniczne

Abstract

<jats:title>Abstract</jats:title> <jats:p> In this paper, we investigate the multiple attribute decision making (MADM) problem based on the Hamacher aggregation operators with dual Pythagorean hesitant fuzzy information. Then, motivated by the ideal of Hamacher operation, we have developed some Hamacher aggregation operators for aggregating dual hesitant Pythagorean fuzzy information. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the dual hesitant Pythagorean fuzzy multiple attribute decision making problems. Finally, a practical example for supplier selection in supply chain management is given to verify the developed approach and to demonstrate its practicality and effectiveness.</jats:p>

Publisher

Committee of Automatic Control and Robotics PAS

Date

2017

Identifier

ISSN 1230-2384

References

CHICLANA (2000), The ordered weighted geometric operator : Properties and application In of th Int on Infor - mation Processing and Management of Uncertainty in Knowledge - based Systems Madrid, Proc, 45, 985. ; PEIDE LIU (2014), Some Hamacher aggregation operators based on the interval - valued intuitionistic fuzzy numbers and their application to group decision making Fuzzy Systems, IEEE Trans, 42, 83. ; MERIGÓ (2013), Induced - tuple linguistic generalized aggregation operators and their application in decision - making ences, Information Sci, 60, 1. ; YAGER (2001), The power average operator on Systems , Man and Cybernetics - Part A, IEEE Trans, 43, 724. ; XU (2003), : An overview of operators for aggregating information of Intelligent System, J, 46, 953. ; XU (2010), Power - geometric operators and their use in group deci - sion making on Fuzzy Systems, IEEE Trans, 44, 94.

DOI

10.1515/acsc-2017-0024

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