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Generalized pythagorean fuzzy point operators and their application in multi-attributes decision making.

Authors :
Zhu, Lei
Liang, Xuefei
Wang, Lei
Wu, Xingrong
Tiwari, Shailesh
Trivedi, Munesh
Kohle, Mohan L.
Source :
Journal of Intelligent & Fuzzy Systems. 2018, Vol. 35 Issue 2, p1407-1418. 12p.
Publication Year :
2018

Abstract

Pythagorean fuzzy sets, which is based on intuitionistic fuzzy sets (IFSs), is an important tool to solve problems and has attracted a large number of researchers in different fields. As we know, studies have focused on interval-valued Pythagorean fuzzy set and aggregated operators. However, few studies focus on point operators. This paper introduces and discusses what is the pythagorean fuzzy point operators, study their properties and relationships, which is seen as the extensions of intuitionistic fuzzy sets. The uncertainty regarding to Pythagorean fuzzy set could be decreased if we use the pythagorean fuzzy point operators. In the end, pythagorean fuzzy multi-attributes decision making based on analytic hierarchy procedure is put forward to cope with the complicated MADM (multi-attributes decision making) issues which can be very useful when we face the multi-level analysis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10641246
Volume :
35
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Intelligent & Fuzzy Systems
Publication Type :
Academic Journal
Accession number :
131542884
Full Text :
https://doi.org/10.3233/JIFS-169683