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An improvement decision-making method by similarity and belief function theory

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  • Mehran Khalaj
  • Fereshteh Khalaj

Abstract

This study considers a new aspect of the belief function theory to define a belief set, which is characterized by truth, uncertainty and falsity belief degrees as a 3D vector representation. Then, based on the implication of a belief set, one of the similarity measures (i.e. Cosine, Jaccard and Dice) between two belief sets is defined. Furthermore, the weighted similarity measure of these different species between each alternative and ideal alternative is presented to rank alternatives and determine the best one. Finally, a comparison between similarity measures and an application of a new method based on similarity measures between two belief sets in the decision-making process is calculated to show the capability and validity of the proposed method.

Suggested Citation

  • Mehran Khalaj & Fereshteh Khalaj, 2023. "An improvement decision-making method by similarity and belief function theory," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 52(7), pages 2240-2258, April.
    • Handle: RePEc:taf:lstaxx:v:52:y:2023:i:7:p:2240-2258
    DOI: 10.1080/03610926.2021.1949472
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