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Multi-criteria decision making based on novel fuzzy knowledge measures

Abstract

Knowledge is related to the information considered in a particularly useful context under consideration. A knowledge measure as a dual of fuzzy entropy quantifies the knowledge associated with a fuzzy set. In this paper, a new entropy-based fuzzy knowledge measure is proposed and validated. The performance of the proposed knowledge measure is explained using two numerical examples. Furthermore, a new multi-criteria decision-making method based on the proposed knowledge measure is introduced and illustrated using a numerical example. Besides this, four new measures namely a fuzzy accuracy measure, a knowledge measure using fuzzy accuracy measure, a similarity measure, and a fuzzy information measure are derived from the proposed knowledge measure and validated.

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Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

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Correspondence to Rajesh Joshi.

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Joshi, R. Multi-criteria decision making based on novel fuzzy knowledge measures. Granul. Comput. (2022). https://doi.org/10.1007/s41066-022-00329-y

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Keywords

  • Fuzzy set
  • Fuzzy knowledge measure
  • Fuzzy accuracy measure
  • Fuzzy similarity measure
  • VIKOR