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Novel Correlation Coefficient for Intuitionistic Fuzzy Sets and Its Application to Multi-Criteria Decision-Making Problems

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  • Ejegwa Paul Augustine

    (Department of Mathematics, Statistics and Computer Science, University of Agriculture, Makurdi, Nigeria)

Abstract

Correlation coefficient is an essential measuring operator in an intuitionistic fuzzy environment use in solving MCDM problems. In this paper, Xu et al.'s correlation coefficient for IFSs is generalized for an improved output. The objectives of this work are to generalize the triparametric correlation coefficient for IFSs proposed by Xu et al. and unravel its applicability in some MCDM problems. The generalized correlation coefficient for IFSs is characterized with some number of results. Some numerical illustrations are supplied to validate the preeminence of the generalized correlation coefficient for IFSs over some existing correlation coefficient measures. In addition, some MCDM problems such as determination of suitable lecturer for course allocation and personnel promotion exercise captured in intuitionistic fuzzy pairs are discussed with the aid of the proposed correlation coefficient.

Suggested Citation

  • Ejegwa Paul Augustine, 2021. "Novel Correlation Coefficient for Intuitionistic Fuzzy Sets and Its Application to Multi-Criteria Decision-Making Problems," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 10(2), pages 39-58, April.
    • Handle: RePEc:igg:jfsa00:v:10:y:2021:i:2:p:39-58
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    Cited by:

    1. Dilshad Alghazzawi & Maryam Liaqat & Abdul Razaq & Hanan Alolaiyan & Umer Shuaib & Jia-Bao Liu, 2023. "Selection of Optimal Approach for Cardiovascular Disease Diagnosis under Complex Intuitionistic Fuzzy Dynamic Environment," Mathematics, MDPI, vol. 11(22), pages 1-23, November.

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