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Hesitant Fuzzy Soft Combined Compromise Solution Method for IoE Companies’ Evaluation
International Journal of Fuzzy Systems ( IF 3.6 ) Pub Date : 2021-07-25 , DOI: 10.1007/s40815-021-01147-1
Xindong Peng 1, 2 , Zhigang Luo 1 , Harish Garg 3
Affiliation  

In the era of Internet of Everything (IoE), we are faced with complex patterns of connectivity between people, processes, data, and things. The IoE industry decision making is all important for enterprises or countries to heighten the efficacy of leadership, which can tremendously expedite the large-scale development and industrialization. When considering the IoE companies’ assessment in the IoE industry, the fundamental issue involves enormous indeterminacy. Hesitant fuzzy soft set (HFSS), portrayed by the parameterized form of multiple membership degree, is a more useful pattern for seizing indeterminacy. In this paper, the objective weight is determined by CRITIC (Criteria Importance Through Inter-criteria Correlation) approach while the integrated weight is calculated by synchronously revealing subjective weight and objective weight. Then, hesitant fuzzy soft decision-making approach based on CoCoSo (Combined Compromise Solution) is introduced for solving the low discrimination issue, counterintuitive phenomena, and parameter type requirements. Finally, the availability of algorithm is verified by IoE companies’ evaluation issue, along with their sensitivity analysis.



中文翻译:

用于IoE公司评估的犹豫模糊软组合妥协解决方法

在万物互联 (IoE) 时代,我们面临着人、流程、数据和事物之间复杂的连接模式。物联网产业决策对于企业或国家提升领导效能至关重要,可以极大地加快规模化发展和产业化进程。在考虑 IoE 公司对 IoE 行业的评估时,基本问题涉及巨大的不确定性。犹豫模糊软集(HFSS),由多隶属度的参数化形式描述,是一种更有用的获取不确定性的模式。在本文中,客观权重通过CRITIC(Criteria Importance Through Inter-criteria Correlation)方法确定,综合权重通过同步揭示主观权重和客观权重来计算。然后,引入基于 CoCoSo(组合妥协解决方案)的犹豫模糊软决策方法来解决低判别问题、违反直觉的现象和参数类型要求。最后,IoE 公司的评估问题及其敏感性分析验证了算法的可用性。

更新日期:2021-07-25
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