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Title: A group decision-making model for important power user risks based on cloud model and set pair analysis: a case study in China

Authors: Jicheng Liu; Xiaoxu Fu; Fangqiu Xu; Suli Yan

Addresses: School of Economics and Management, North China Electric Power University, Beijing, 102206, China ' School of Economics and Management, North China Electric Power University, Beijing, 102206, China ' School of Economics and Management, Beijing Information Science and Technology University, 100192, China ' School of Economics and Management, North China Electric Power University, Beijing, 102206, China

Abstract: The safe and stable operation of important power users plays an important role in the harmonious development of society and economy. Different from previous studies which mostly based on reliability model, a group decision-making model based on cloud model and connection number is proposed in this paper. First, an assessment index system is established including operation safety risk, cooperation credit risk, power regulation risk and operating capacity risk. Then, with the advantage in dealing with qualitative language, cloud model is employed to convert the qualitative concepts into quantitative values, which reduce the fuzziness and randomness. Next, in order to integrate the information among different index, the geometric operator of binary connection number is defined. Finally, the comparison method of connection numbers is put forward to rank the results. The example and sensibility analysis verify the effectiveness and applicability of the model in this paper.

Keywords: binary connection number; cloud model; important power users; risk assessment; sensitivity analysis; group decision-making.

DOI: 10.1504/IJTPM.2021.114309

International Journal of Technology, Policy and Management, 2021 Vol.21 No.1, pp.69 - 89

Accepted: 23 Mar 2020
Published online: 09 Apr 2021 *

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