Medical diagnostic analysis on some selected patients based on modified Thao et al.’s correlation coefficient of intuitionistic fuzzy sets via an algorithmic approach

Journal Title: Journal of Fuzzy Extension & Applications - Year 2020, Vol 1, Issue 2

Abstract

The concept of correlation coefficient of intuitionistic fuzzy sets is a reliable tool in information theory with numerous applications in diverse areas. Correlation coefficients of intuitionistic fuzzy sets have been studied through two-way approach by many researchers. This approach inappropriately discarded the hesitation margins of the concerned intuitionistic fuzzy sets, which makes the results of such experiments unreliable. In this paper, we modified the correlation coefficient of intuitionistic fuzzy sets of Thao et al. [36] in a three-way approach by including the hesitation margins in the computational process to enhance reliable output through an algorithmic method. We show that the modified correlation coefficient of intuitionistic fuzzy sets is more reasonable with precise outputs than correlation coefficient method. In terms of application, we demonstrate an analysis of medical diagnosis on some selected patients via an algorithm of the novel approach coded with JAVA programming language.

Authors and Affiliations

Paul Augustine Ejegwa, Idoko Charles Onyeke

Keywords

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  • EP ID EP692653
  • DOI 10.22105/JFEA.2020.250108.1014
  • Views 118
  • Downloads 0

How To Cite

Paul Augustine Ejegwa, Idoko Charles Onyeke (2020). Medical diagnostic analysis on some selected patients based on modified Thao et al.’s correlation coefficient of intuitionistic fuzzy sets via an algorithmic approach. Journal of Fuzzy Extension & Applications, 1(2), -. https://europub.co.uk/articles/-A-692653