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A Novel Improved Accuracy Function for Interval Valued Pythagorean Fuzzy Sets and Its Applications in the Decision‐Making Process
Author(s) -
Garg Harish
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.21898
Subject(s) - pythagorean theorem , ranking (information retrieval) , interval (graph theory) , computer science , function (biology) , process (computing) , fuzzy logic , score , element (criminal law) , artificial intelligence , mathematical optimization , data mining , algorithm , mathematics , machine learning , geometry , combinatorics , evolutionary biology , biology , operating system , political science , law
The objective of this work is to present an improved accuracy function for the ranking order of interval‐valued Pythagorean fuzzy sets (IVPFSs). Shortcomings of the existing score and accuracy functions in interval‐valued Pythagorean environment have been overcome by the proposed accuracy function. In the proposed function, degree of hesitation between the element of IVPFS has been taken into account during the analysis. Based on it, multicriteria decision‐making method has been proposed for finding the desirable alternative(s). Finally, an illustrative example for solving the decision‐making problem has been presented to demonstrate application of the proposed approach.