Extended TODIM‐PROMETHEE II method with hesitant probabilistic information for solving potential risk evaluation problems of water resource carrying capacity

With the excessive consumption and pollution of water resources, the sustainable development of water resources poses a serious threat currently. How to perceive and prevent the degradation of water resource in advance is an urgent problem. The water resource carrying capacity (WRCC) is a significan...

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Bibliographic Details
Published inExpert systems Vol. 38; no. 4
Main Authors Wang, Xiao‐kang, Zhang, Hong‐yu, Wang, Jian‐qiang, Li, Jun‐bo, Li, Lin
Format Journal Article
LanguageEnglish
Published Oxford Blackwell Publishing Ltd 01.06.2021
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Summary:With the excessive consumption and pollution of water resources, the sustainable development of water resources poses a serious threat currently. How to perceive and prevent the degradation of water resource in advance is an urgent problem. The water resource carrying capacity (WRCC) is a significant indicator to reflect the condition of water resources in a region. Resounding to these circumstances, our research establishes a decision support framework to solve WRCC risk evaluation issues. First, hesitant probabilistic fuzzy sets (HPFSs) are selected as a representation for the evaluation information in the expert group. Aimed at existing studies of HPFSs, some limitations are overcome involving the distance and comparison rule. Secondly, a TODIM‐PROMETHEE II based multi‐criteria group decision making (MCGDM) method is developed to overcome the inherent restrictions of PROMETHEE II method and make it suitable for a practical decision‐making condition with bounded rationality. Subsequently, a case study is utilized to demonstrate the feasibility of our newly proposed decision support framework, followed by a sensitivity analysis and a comparison analysis. The outcome indicates that the framework has an excellent performance to solve this kind of MCGDM issues.
Bibliography:Funding information
China Scholarship Council; National Natural Science Foundation of China
ISSN:0266-4720
1468-0394
DOI:10.1111/exsy.12681