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An Integrated Model of BWM and Choquet Integral for Determining Fuzzy Measures in Interacting Criteria

Author

Listed:
  • Nazanin Maleki

    (School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran)

  • Mohammad Reza Gholamian

    (School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran)

  • Saeed Yaghoubi

    (School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran)

Abstract

Decision-making is one of the significant and inevitable issues in the most real-world problems. Decision criteria interact in many of these problems, and traditional aggregation techniques, which are usually linear methods, cannot be exploited to consider these interactions and exert correlations between criteria. In such cases, nonadditive aggregation methods have attracted the attention of many researchers. This study presents a novel model based on the best-worst method (BWM) and the multi-criteria fuzzy Choquet integral technique to apply the interaction between the criteria. In the proposed model, we have reduced the effect of the inconsistency rate detected on the fuzzy measure (or Choquet capacity) by taking into account the positive or negative interaction between the criteria.

Suggested Citation

  • Nazanin Maleki & Mohammad Reza Gholamian & Saeed Yaghoubi, 2022. "An Integrated Model of BWM and Choquet Integral for Determining Fuzzy Measures in Interacting Criteria," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 1061-1086, May.
  • Handle: RePEc:wsi:ijitdm:v:21:y:2022:i:03:n:s0219622022500092
    DOI: 10.1142/S0219622022500092
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