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Open AccessArticle

Fuzzy Group Consensus Decision Making and Its Use in Selecting Energy-Saving and Low-Carbon Technology Schemes in Star Hotels

by 1,2, 3 and 4,*
1
School of Economic and Management, Xiamen University of Technology, Xiamen 361024, China
2
Department of Information Management, Yuan Ze University, Taoyuan 32003, Taiwan
3
Dongfang College, Zhejiang University of Finance & Economics, Haining 314408, Zhejiang, China
4
School of Information, Zhejiang University of Finance & Economics, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2018, 15(9), 2057; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph15092057
Received: 24 August 2018 / Revised: 10 September 2018 / Accepted: 17 September 2018 / Published: 19 September 2018
Energy-saving and low-carbon technologies play important roles in reducing environmental risk and developing green tourism. An energy-saving and low-carbon technology scheme selection may often involve multiple criteria and sub-criteria as well as multiple stakeholders or decision makers, and thus can be structured as a hierarchical multi-criteria group decision making problem. This paper proposes a framework to solve group consensus decision making problems, where decision makers’ preferences between the alternatives considered with respective to each criterion are elicited by the paired comparison method, and expressed as triangular fuzzy preference relations (TFPRs). The paper first simplifies the existing computation formulas used to determine triangular fuzzy weights of TFPRs. A consistency index is then devised to measure the inconsistency degree of a TFPR and is used to check acceptable consistency of TFPRs. By introducing a possibility degree formula of comparing any two triangular fuzzy weights, an index is defined to measure the consensus level between an individual ranking order and the group ranking order for all alternatives. A consensus model is developed in detail for solving group decision making problems with TFPRs. A case study of selecting energy-saving and low-carbon technology schemes in star hotels is provided to illustrate how to apply the proposed group decision making consensus model in practice. View Full-Text
Keywords: green tourism; energy-saving and low-carbon; group decision making; consistency index; consensus green tourism; energy-saving and low-carbon; group decision making; consistency index; consensus
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MDPI and ACS Style

Lu, P.; Yang, X.; Wang, Z.-J. Fuzzy Group Consensus Decision Making and Its Use in Selecting Energy-Saving and Low-Carbon Technology Schemes in Star Hotels. Int. J. Environ. Res. Public Health 2018, 15, 2057. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph15092057

AMA Style

Lu P, Yang X, Wang Z-J. Fuzzy Group Consensus Decision Making and Its Use in Selecting Energy-Saving and Low-Carbon Technology Schemes in Star Hotels. International Journal of Environmental Research and Public Health. 2018; 15(9):2057. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph15092057

Chicago/Turabian Style

Lu, Ping; Yang, Xuan; Wang, Zhou-Jing. 2018. "Fuzzy Group Consensus Decision Making and Its Use in Selecting Energy-Saving and Low-Carbon Technology Schemes in Star Hotels" Int. J. Environ. Res. Public Health 15, no. 9: 2057. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph15092057

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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