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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52575

Title: Hesitant Fuzzy Linguistic Preference Utility Set and Its Application in Selection of Fire Rescue Plans
Authors: Liao H
Si G
Xu Z
Fujita H
Contributors: 國立臺灣海洋大學:資訊工程學系
Keywords: hesitant fuzzy linguistic preference utility set
hesitant fuzzy linguistic preference utility-TOPSIS method
hesitant fuzzy linguistic term set
linguistic scale function
the prospect theory
Date: 2018-04-03
Issue Date: 2019-11-19T01:18:16Z
Publisher: International Journal of Environmental Research and Public Health
Abstract: 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.
Relation: 15(4)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52575
Appears in Collections:[資訊工程學系] 期刊論文

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