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Hesitant Fuzzy Linguistic Preference Utility Set and Its Application in Selection of Fire Rescue Plans

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  • Huchang Liao

    (Business School, Sichuan University, Chengdu 610064, China
    Department of Computer Science and Artificial Intelligence, University of Granada, E-18071 Granada, Spain)

  • Guangsen Si

    (Business School, Sichuan University, Chengdu 610064, China)

  • Zeshui Xu

    (Business School, Sichuan University, Chengdu 610064, China)

  • Hamido Fujita

    (Faculty of Software and Information Science, Iwate Prefectural University, Iwate 020-0193, Japan)

Abstract

Hesitant fuzzy linguistic term set provides an effective tool to represent uncertain decision information. However, the semantics corresponding to the linguistic terms in it cannot accurately reflect the decision-makers’ subjective cognition. In general, different decision-makers’ sensitivities towards the semantics are different. Such sensitivities can be represented by the cumulative prospect theory value function. Inspired by this, we propose a linguistic scale function to transform the semantics corresponding to linguistic terms into the linguistic preference values. Furthermore, we propose the hesitant fuzzy linguistic preference utility set, based on which, the decision-makers can flexibly express their distinct semantics and obtain the decision results that are consistent with their cognition. For calculations and comparisons over the hesitant fuzzy linguistic preference utility sets, we introduce some distance measures and comparison laws. Afterwards, to apply the hesitant fuzzy linguistic preference utility sets in emergency management, we develop a method to obtain objective weights of attributes and then propose a hesitant fuzzy linguistic preference utility-TOPSIS method to select the best fire rescue plan. Finally, the validity of the proposed method is verified by some comparisons of the method with other two representative methods including the hesitant fuzzy linguistic-TOPSIS method and the hesitant fuzzy linguistic-VIKOR method.

Suggested Citation

  • Huchang Liao & Guangsen Si & Zeshui Xu & Hamido Fujita, 2018. "Hesitant Fuzzy Linguistic Preference Utility Set and Its Application in Selection of Fire Rescue Plans," IJERPH, MDPI, vol. 15(4), pages 1-18, April.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:664-:d:139317
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    References listed on IDEAS

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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Peijia Ren & Zeshui Xu & Jing Gu, 2016. "Assessments of the Effectiveness of an Earthquake Emergency Plan Implementation with Hesitant Analytic Hierarchy Process," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1367-1389, November.
    3. Xu, Zeshui, 2005. "Deviation measures of linguistic preference relations in group decision making," Omega, Elsevier, vol. 33(3), pages 249-254, June.
    4. Junling Zhang & Gajanan G. Hegde & Jennifer Shang & Xiaowen Qi, 2016. "Evaluating Emergency Response Solutions for Sustainable Community Development by Using Fuzzy Multi-Criteria Group Decision Making Approaches: IVDHF-TOPSIS and IVDHF-VIKOR," Sustainability, MDPI, vol. 8(4), pages 1-28, March.
    5. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

    1. Ning Zhang & Zaiwu Gong & Kedong Yin & Yuhong Wang, 2018. "Special Issue “Decision Models in Green Growth and Sustainable Development”," IJERPH, MDPI, vol. 15(6), pages 1-8, May.
    2. Xia Liu & Yejun Xu & Yao Ge & Weike Zhang & Francisco Herrera, 2019. "A Group Decision Making Approach Considering Self-Confidence Behaviors and Its Application in Environmental Pollution Emergency Management," IJERPH, MDPI, vol. 16(3), pages 1-15, January.
    3. Guofeng Ma & Sheng Tan & Shanshan Shang, 2019. "The Evaluation of Building Fire Emergency Response Capability Based on the CMM," IJERPH, MDPI, vol. 16(11), pages 1-15, June.
    4. Guohua Qu & Rudan Xue & Tianjiao Li & Weihua Qu & Zeshui Xu, 2020. "A Stochastic Multi-Attribute Method for Measuring Sustainability Performance of a Supplier Based on a Triple Bottom Line Approach in a Dual Hesitant Fuzzy Linguistic Environment," IJERPH, MDPI, vol. 17(6), pages 1-26, March.

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