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

Heng-ming Peng, Xiao-kang Wang, Tie-li Wang, Ya-hua Liu and Jian-qiang Wang
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Heng-ming Peng: School of Economics Management and Law, University of South China, Hengyang 421001, China
Xiao-kang Wang: School of Business, Central South University, Changsha 410083, China
Tie-li Wang: School of Economics Management and Law, University of South China, Hengyang 421001, China
Ya-hua Liu: School of Economics Management and Law, University of South China, Hengyang 421001, China
Jian-qiang Wang: School of Business, Central South University, Changsha 410083, China

Mathematics, 2020, vol. 8, issue 2, 1-23

Abstract: 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 (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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