Title of paper:

An improved correlation coefficient between intuitionistic fuzzy sets and its applications to reallife decisionmaking problems

Author(s):

Paul Augustine Ejegwa

Department of Mathematics/Statistics/Computer Science, University of Agriculture, P.M.B. 2373, Makurdi, Nigeria

ejegwa.augustineuam.edu.ng


Published in:

Notes on Intuitionistic Fuzzy Sets, Volume 26 (2020), Number 2, pages 1–14

DOI:

https://doi.org/10.7546/nifs.2020.26.2.114

Download:

PDF (194 Kb, Info)

Abstract:

Correlation coefficient between intuitionistic fuzzy sets (CCIFSs) is a vital research area in intuitionistic fuzzy set theory and has great practical application in a variety of areas. Many methods of computing CCIFSs have been studied hitherto. Due to the weakness in some existing methods of computing CCIFSs, an advanced CCIFSs technique is proposed in this paper which has some advantages over the similar existing methods. This new CCIFSs technique is an improved version of some CCIFSs techniques. A set of numerical illustrations are given to determine the effectiveness of the introduced CCIFSs method over the similar existing ones. Furthermore, we apply the new technique of computing CCIFSs to solve reallife decisionmaking (RLDM) problems of personnel appointment exercise and career determination problem represented in intuitionistic fuzzy values. This proposed measuring tool could be exploited in other multicriteria decisionmaking problems via cluster algorithm approach.

Keywords:

Intuitionistic fuzzy set, Correlation coefficient measure, Reallife decisionmaking.

AMS Classification:

03E72, 62H20, 62M10.

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