Hesitant Fuzzy Soft Combined Compromise Solution Method for IoE Companies’ Evaluation
Hesitant Fuzzy Soft Combined Compromise Solution Method for IoE Companies’ Evaluation
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DOI：
10.1007/s40815-021-01147-1
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发表时间：
2021-07
影响因子：
4.3
通讯作者：
Xindong Peng;Harish Garg;Zhigang Luo
中科院分区：
文献类型：
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作者：
Xindong Peng;Harish Garg;Zhigang Luo
在万物互联(IoE)时代，我们面临着人员、流程、数据和事物之间复杂的连接模式。物联网行业决策对于企业或国家提高领导效能都是非常重要的，这可以极大地加快大规模开发和产业化。在考虑万物互联公司在万物互联行业的评估时，根本问题涉及巨大的不确定性。犹豫模糊软集(HFSS)以多隶属度的参数化形式刻画，是一种更有效的把握不确定性的模式。本文采用评判法(CRITIC)确定客观权重，通过同时揭示主观权重和客观权重计算综合权重。在此基础上，提出了一种基于CoCoSo(组合折衷解)的犹豫型模糊软决策方法，解决了模糊决策中分辨率低、反直觉现象和参数类型要求等问题。最后，通过对物联网企业的评估问题以及它们的敏感度分析，验证了算法的有效性。
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.