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Pythagorean Fuzzy Multiattribute Group Decision Making with Probabilistic Information and OWA Approach
Author(s) -
Zeng Shouzhen
Publication year - 2017
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.21886
Subject(s) - pythagorean theorem , probabilistic logic , group decision making , operator (biology) , fuzzy logic , selection (genetic algorithm) , computer science , group (periodic table) , mathematics , artificial intelligence , mathematical optimization , chemistry , geometry , organic chemistry , biochemistry , repressor , political science , transcription factor , law , gene
The aim of this paper is to develop a Pythagorean fuzzy multiattribute group decision making (MAGDM) method based on probabilistic information and the ordered weighted averaging (OWA) approach. The Pythagorean fuzzy probabilistic ordered weighted averaging (PFPOWA) operator is presented. It is a new aggregation operator that considers the probabilities and the OWA in the same formulation. Therefore, it is able to take into account the degree of importance that each concept has in the particular problem considered. Some main properties and different particular cases of the PFPOWA operators are studied. Moreover, a method based on the proposed operator for multiattribute group decision making is put forward. Finally, an example showing analysis of a supplier selection is given to verify the effectiveness and practicability of the proposed method.