A MAGDM ALGORITHM FOR DECISION-MAKING PROBLEMS ON FUZZY SOFT SETS USING A COEFFICIENT CORRELATION AND AN ENTROPY MEASURE FOR DETERMINING THE WEIGHT OF PARAMETERS

  • Latifa Khairunnisa Department of Mathematics, Faculty of Mathematics and Natural Science, Andalas University, Indonesia
  • Admi Nazra Department of Mathematics, Faculty of Mathematics and Natural Science, Andalas University, Indonesia
  • Izzati Rahmi HG Department of Mathematics, Faculty of Mathematics and Natural Science, Andalas University, Indonesia
DOI: https://doi.org/10.30598/barekengvol17iss3pp1503-1512
Keywords: correlation coefficient, Fuzzy soft set, MAGDM, Entropy measure

Abstract

In statistics, the correlation coefficient concept aims to show how strong the linear relationship between two variables is. Sometimes the data collected relates to everyday life problems whose value is uncertain. Therefore, the concept of correlation coefficient must be developed on the fuzzy sets and the fuzzy soft sets environment. In this study, a decision-making algorithm was designed on fuzzy soft sets using the concept of the correlation coefficient. The method used is MAGDM, where the parameter weights are determined using entropy measures. Using this method, the algorithm of our decision-making problem is more realistic and general. The final section gives an example of a decision-making problem and a numerical illustration using the designed algorithm.

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Published
2023-09-30
How to Cite
[1]
L. Khairunnisa, A. Nazra, and I. HG, “A MAGDM ALGORITHM FOR DECISION-MAKING PROBLEMS ON FUZZY SOFT SETS USING A COEFFICIENT CORRELATION AND AN ENTROPY MEASURE FOR DETERMINING THE WEIGHT OF PARAMETERS”, BAREKENG: J. Math. & App., vol. 17, no. 3, pp. 1503-1512, Sep. 2023.
Issue
Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Section
Articles

Copyright (c) 2023 Latifa Khairunnisa, Admi Nazra, Izzati Rahmi HG

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