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Linguistic Multi-Attribute Group Decision Making with Risk Preferences and Its Use in Low-Carbon Tourism Destination Selection

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  • Hui Lin

    (School of Information, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Zhou-Jing Wang

    (School of Information, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

Abstract

Low-carbon tourism plays an important role in carbon emission reduction and environmental protection. Low-carbon tourism destination selection often involves multiple conflicting and incommensurate attributes or criteria and can be modelled as a multi-attribute decision-making problem. This paper develops a framework to solve multi-attribute group decision-making problems, where attribute evaluation values are provided as linguistic terms and the attribute weight information is incomplete. In order to obtain a group risk preference captured by a linguistic term set with triangular fuzzy semantic information, a nonlinear programming model is established on the basis of individual risk preferences. We first convert individual linguistic-term-based decision matrices to their respective triangular fuzzy decision matrices, which are then aggregated into a group triangular fuzzy decision matrix. Based on this group decision matrix and the incomplete attribute weight information, a linear program is developed to find an optimal attribute weight vector. A detailed procedure is devised for tackling linguistic multi-attribute group decision making problems. A low-carbon tourism destination selection case study is offered to illustrate how to use the developed group decision-making model in practice.

Suggested Citation

  • Hui Lin & Zhou-Jing Wang, 2017. "Linguistic Multi-Attribute Group Decision Making with Risk Preferences and Its Use in Low-Carbon Tourism Destination Selection," IJERPH, MDPI, vol. 14(9), pages 1-14, September.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:9:p:1078-:d:112266
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    References listed on IDEAS

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    2. Jun Liu & Xianbin Wu & Shouzhen Zeng & Tiejun Pan, 2017. "Intuitionistic Linguistic Multiple Attribute Decision-Making with Induced Aggregation Operator and Its Application to Low Carbon Supplier Selection," IJERPH, MDPI, vol. 14(12), pages 1-12, November.
    3. An-Jin Shie & You-Yu Dai & Ming-Xing Shen & Li Tian & Ming Yang & Wen-Wei Luo & Yenchun Jim Wu & Zhao-Hui Su, 2022. "Diamond Model of Green Commitment and Low-Carbon Travel Motivation, Constraint, and Intention," IJERPH, MDPI, vol. 19(14), pages 1-21, July.
    4. Xuan Yang & Zhou-Jing Wang, 2020. "Intuitionistic Fuzzy Hierarchical Multi-Criteria Decision Making for Evaluating Performances of Low-Carbon Tourism Scenic Spots," IJERPH, MDPI, vol. 17(17), pages 1-16, August.
    5. Ping Lu & Xuan Yang & Zhou-Jing Wang, 2018. "Fuzzy Group Consensus Decision Making and Its Use in Selecting Energy-Saving and Low-Carbon Technology Schemes in Star Hotels," IJERPH, MDPI, vol. 15(9), pages 1-18, September.
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    7. Guang Zhu & Gaozhi Pan & Weiwei Zhang, 2018. "Evolutionary Game Theoretic Analysis of Low Carbon Investment in Supply Chains under Governmental Subsidies," IJERPH, MDPI, vol. 15(11), pages 1-27, November.

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