Modified Szmidt and Kacprzyk’s Intuitionistic Fuzzy Distances and their Applications in Decision-making

Authors

  • P. A. Ejegwa
    Department of Mathematics, University of Agriculture, P.M.B. 2373, Makurdi, Nigeria
  • I. C. Onyeke
    Department of Computer Science, University of Agriculture, P.M.B. 2373, Makurdi, Nigeria
  • B. T. Terhemen
    Department of Mathematics, University of Agriculture, P.M.B. 2373, Makurdi, Nigeria
  • M. P. Onoja
    Department of Mathematics, University of Agriculture, P.M.B. 2373, Makurdi, Nigeria
  • A. Ogiji
    Department of Mathematics, University of Agriculture, P.M.B. 2373, Makurdi, Nigeria
  • C. U. Opeh
    Department of Mathematics, University of Agriculture, P.M.B. 2373, Makurdi, Nigeria

Keywords:

Decision-making, Distance measure, Intuitionistic fuzzy set, Pattern recognition, Medical diagnosis

Abstract

Intuitionistic fuzzy models are significant in resolving decision-making. Distance measures under intuitionistic fuzzy environment are reliable techniques deployed to express the application of IFSs. Some approaches of estimating distances between IFSs have been explored by Szmidt and Kacprzyk, where the complete parameters of IFSs are considered. Albeit, the distance operators lack reliability because of certain setbacks. In this paper, we modified Szmidt and Kacprzyk's distance operators between IFSs to enhance reliability in terms of applications. Some theorems are given to substantiate the validity of the modified intuitionistic fuzzy distance operators. Futhermore, decision-making cases of pattern recognition and disease identification are discussed using the Szmidt and Kacprzyk's distances and their improved versions where information are represented in intuitionistic fuzzy pairs. From the study, it is observed that the modified Szmidt and Kacprzyk's distance operators between IFSs yield better results compare to the Szmidt and Kacprzyk's distance operators between IFSs.

Dimensions

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Published

2022-05-29

How to Cite

Modified Szmidt and Kacprzyk’s Intuitionistic Fuzzy Distances and their Applications in Decision-making. (2022). Journal of the Nigerian Society of Physical Sciences, 4(2), 174-182. https://doi.org/10.46481/jnsps.2022.530

Issue

Volume 4, Issue 2, May 2022

Section

Original Research
Copyright & Licensing

Copyright (c) 2022 Journal of the Nigerian Society of Physical Sciences

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Modified Szmidt and Kacprzyk’s Intuitionistic Fuzzy Distances and their Applications in Decision-making. (2022). Journal of the Nigerian Society of Physical Sciences, 4(2), 174-182. https://doi.org/10.46481/jnsps.2022.530

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