An Integrated Method with PROMETHEE and Conflict Analysis for Qualitative and Quantitative Decision-Making: Case Study of Site Selection for Wind Power Plants
Multiple-criteria decision-making is common in our daily life. The probabilistic linguistic term set is an effective tool to represent both simple and cognitive complex linguistic expressions given by individuals and groups completely. In this paper, the PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) is enhanced by integrating with a conflict analysis to solve general multiple-criteria decision-making problems with both quantitative and qualitative criteria. Firstly, to capture the inherent uncertainty of evaluations, interval numbers are used to expresses the values of quantitative criteria while probability linguistic term sets are used to scale the qualitative criteria. Then, a preference function for both quantitative and qualitative criteria is proposed. In addition, a conflict analysis is presented and added to the PROMETHEE, which can derive the preference, indifference, and incomparability (PIR) relations of alternatives. A reference point is given to select the thresholds for the PIR relations. Finally, the improved PROMETHEE is highlighted by a case study concerning site selection of the wind power plant.
KeywordsMultiple-criteria decision-making PROMETHEE Probabilistic linguistic term set Conflict analysis Site selection
The research is designed and performed by Xingli Wu, Cheng Zhang, and Huchang Liao. The data was collected and analyzed by Xingli Wu and Cheng Zhang. The paper is written by Xingli Wu, Cheng Zhang, and Huchang Liao and is finally checked and revised by Lisheng Jiang. All authors read and approved the final manuscript.
The work was supported by the National Natural Science Foundation of China (71771156, 71971145), the 2019 Sichuan Planning Project of Social Science (No. SC18A007), the 2018 Key Project of the Key Research Institute of Humanities and Social Sciences in Sichuan Province (No. Xq18A01, No. LYC18-02), the Project of Innovation at Sichuan University (No. 2018hhs-43) and the Graduate Student's Research and Innovation Fund of Sichuan University (No. 2018YJSY039).
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Conflict of Interest
The authors declare that they have no conflict of interest.
This article does not contain any studies with human participants or animals performed by any of the authors.
As this article does not contain any studies with human participants or animals performed by any of the authors, the informed consent in not applicable.
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