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A Multi-Criteria Decision Support Framework for Inland Nuclear Power Plant Site Selection under Z-Information: A Case Study in Hunan Province of China

1
School of Economics Management and Law, University of South China, Hengyang 421001, China
2
School of Business, Central South University, Changsha 410083, China
*
Authors to whom correspondence should be addressed.
Mathematics 2020, 8(2), 252; https://doi.org/10.3390/math8020252 (registering DOI)
Received: 18 January 2020 / Revised: 11 February 2020 / Accepted: 11 February 2020 / Published: 14 February 2020
(This article belongs to the Section Fuzzy Set Theory)
To promote the development of nuclear power project in inland China,a specialized multi-criteria decision support framework is constructed for the site selection of inland nuclear power plants in this work. The best worst method (BWM), decision-making trial and evaluation laboratory (DEMATEL), and technique for order performance by similarity to ideal solution (TOPSIS) are integrated with Z-numbers, namely Z-BWM, Z-DEMATEL, and Z-TOPSIS. Z-BWM and Z-DEMATEL are combined to produce the weights of criteria, and an extended Z-TOPSIS is utilized to determine the ranking of all alternatives. Finally, a case study is performed in Hunan province to demonstrate the practicability of the proposed decision support framework. The robustness and feasibility of the proposed method are shown by an in-depth analysis of the decision results.
Keywords: nuclear power plants site selection; Multi-criteria decision making; Z-numbers; BWM; DEMATEL; TOPSIS nuclear power plants site selection; Multi-criteria decision making; Z-numbers; BWM; DEMATEL; TOPSIS
MDPI and ACS Style

Peng, H.-M.; Wang, X.-K.; Wang, T.-L.; Liu, Y.-H.; Wang, J.-Q. A Multi-Criteria Decision Support Framework for Inland Nuclear Power Plant Site Selection under Z-Information: A Case Study in Hunan Province of China. Mathematics 2020, 8, 252.

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