Affiliations: [a] School of Business,Central South University, Changsha,PR China | [b] School of Business,Hunan University, Changsha,PR China | [c] Hunan Engineering Research Center for Intelligent Decision Making and Big Data on Industrial Development, Hunan University of Science and Technology, Xiangtan,China
| [d] School of Business,Hunan University of Science and Technology, Xiangtan,China
Correspondence:
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Corresponding author. J. Wang, E-mail:[email protected].
Abstract: This paper proposes a cloud model-based Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) method with 2D uncertain linguistic variables (2DULVs). 2DULVs are adopted by decision makers (DMs) to evaluate each alternative under the criteria because they can provide extra evaluation information. Cloud model is adopted to depict randomness and fuzziness. The possibility degree and possibility degree index are defined to develop an improved PROMETHEE II method for sorting alternatives. Entropy weight method is used to calculate the weight of each criterion. A renewable energy performance sample is used to illustrate the applicability of the proposed method. Sensitivity analysis and four comparative experiments demonstrate the stability and accuracy of the proposed approach.
