Abstract
The reforming and updating of power systems play a key role in promoting the low-carbon technology progress, saving non-renewable energy resources and reducing carbon emissions. The evaluation of power system reform proposals is an uncertain multiple-criteria decision-making problem given that some indicators cannot be represented by real numbers such as the expected effect of the power system upgrade. The hesitant fuzzy set, as a powerful tool to portray uncertain information by several possible membership functions, is introduced to represent the evaluation information for power system reform proposals. First, based on the linear interpolation method and the proposed ignorance degree, we obtain the defuzzification value involving the linguistic term part and corresponding probability part. Next, the water-filling algorithm is utilized to determine the objective weight of the criterion by the optimization model to maximize the total capacity of the criteria. Then, to model uncertainties associated with intricate decision-making situations and conflicting assessments, the evidential reasoning algorithm is extended to the hesitant fuzzy environment. The proposed hesitant fuzzy evidential reasoning method not only manages conflicting evaluation information but also avoids information loss or distortion. The proposed method is applied to rank the proposals after establishing the indicator system for power system reform. Finally, sensitivity and comparative analysis verify the effectiveness and robustness of the proposed method with a series of simulation experiments and nonparametric tests.
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Acknowledgements
The work was partly supported by the National Natural Science Foundation of China (No. 71571123), the National Social Science Fund of China (Nos. 21ATJ010, 20CTJ016, 19ZDA122), China Postdoctoral Science Foundation (2020M673195), Zhejiang Gongshang University “Digital +” Disciplinary Construction Management Project (Nos. SZJ2022A007, SZJ2022B002, SZJ2022A001), the Fundamental Research Funds for the Provincial Universities of Zhejiang (No. XT202216).
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Chonghui Zhang – Methodology, conceptualization, writing; Wuhui Lu – Methodology, computing, writing. Zeshui Xu – Review and editing; Wenting Xue – Investigation, original draft and review.
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Zhang, C., Lu, W., Xu, Z. et al. Evaluating power system reform proposals based on the evidential reasoning algorithm with hesitant fuzzy information. Appl Intell 53, 26079–26097 (2023). https://doi.org/10.1007/s10489-023-04746-7
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DOI: https://doi.org/10.1007/s10489-023-04746-7