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A Hybrid Multi-Attribute Decision-Making Method Considering Tourists' Behavioral Preferences for Customized Tours

Author

Listed:
  • Detong Cheng

    (Sanming University, China)

  • Zuqi Zheng

    (Sanming University, China)

  • Gaofeng Yu

    (Fujian Business University, China)

  • Haitang Huang

    (Sanming University, China)

Abstract

A decision-making analysis method considering tourists' behavioral preferences is proposed to address the problem of hybrid multi-attribute decision making (HMDM) for customized tours in which attribute values are intuitionistic fuzzy numbers, interval numbers and real numbers. This method is presented through step-by-step instructions:1) construct an evaluation index system of the HMDM for customized tours; 2) convert the attribute values of different data types into normalized intuitionistic fuzzy numbers, and obtain their objective weights by calculating their intuitionistic fuzzy entropies; 3) use the intuitionistic fuzzy weighted average operator to aggregate all the converted attribute values of each customized scheme;4) calculate scores of aggregation values for customized schemes and rank these schemes accordingly under the scenarios where tourists express such behavioral preferences as caution, mildness and recklessness; and 5) apply the proposed method to an example case to prove its feasibility.

Suggested Citation

  • Detong Cheng & Zuqi Zheng & Gaofeng Yu & Haitang Huang, 2024. "A Hybrid Multi-Attribute Decision-Making Method Considering Tourists' Behavioral Preferences for Customized Tours," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 13(1), pages 1-13, January.
  • Handle: RePEc:igg:jfsa00:v:13:y:2024:i:1:p:1-13
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    1. Michele W. Marenus & Ana Cahuas & Dianna Hammoud & Andy Murray & Kathryn Friedman & Haley Ottensoser & Julia Sanowski & Varun Kumavarel & Weiyun Chen, 2023. "Web-Based Physical Activity Interventions to Promote Resilience and Mindfulness Amid the COVID-19 Pandemic: A Pilot Study," IJERPH, MDPI, vol. 20(8), pages 1-13, April.
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