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Hybrid aggregation operators based on Pythagorean hesitant fuzzy sets and their application to group decision making

Authors :
Khan, Muhammad
Abdullah, Saleem
Ali, Asad
Amin, Fazli
Rahman, Khaista
Source :
Granular Computing; July 2019, Vol. 4 Issue: 3 p469-482, 14p
Publication Year :
2019

Abstract

Pythagorean hesitant fuzzy set (PHFS) is a powerful tool to deal with uncertainty and vagueness. Therefore, based on Pythagorean hesitant fuzzy information in this paper we develop hybrid aggregation operators for Pythagorean hesitant fuzzy information namely, Pythagorean hesitant fuzzy hybrid weighted averaging operator, Pythagorean hesitant fuzzy hybrid weighted geometric operator. These developed operators can weigh both the argument and their ordered positions. Additionally, some numerical examples are given to illustrate the developed operators. Moreover we develop a multi-attribute group decision making approach based on the proposed operators. Finally, we give a numerical example to show the effectiveness and flexibility of the proposed method.

Details

Language :
English
ISSN :
23644966 and 23644974
Volume :
4
Issue :
3
Database :
Supplemental Index
Journal :
Granular Computing
Publication Type :
Periodical
Accession number :
ejs45901230
Full Text :
https://doi.org/10.1007/s41066-018-0107-4