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Int. J. Environ. Res. Public Health 2017, 14(9), 1078; https://doi.org/10.3390/ijerph14091078

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

School of Information, Zhejiang University of Finance and Economics, Hangzhou 310018, China
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Received: 20 August 2017 / Revised: 13 September 2017 / Accepted: 14 September 2017 / Published: 17 September 2017
(This article belongs to the Special Issue Decision Models in Green Growth and Sustainable Development)
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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. View Full-Text
Keywords: low-carbon tourism destination selection; linguistic multi-attribute group decision making; risk preference; incomplete weight information; linear program low-carbon tourism destination selection; linguistic multi-attribute group decision making; risk preference; incomplete weight information; linear program
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Lin, H.; Wang, Z.-J. Linguistic Multi-Attribute Group Decision Making with Risk Preferences and Its Use in Low-Carbon Tourism Destination Selection. Int. J. Environ. Res. Public Health 2017, 14, 1078.

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