Large-Scale Group Decision-Making Method Using Hesitant Fuzzy Rule-Based Network for Asset Allocation

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Abdul Malek Yaakob, Shahira Shafie, Alexander Gegov, Siti Fatimah Abdul Rahman, Ku Muhammad Naim Ku Khalif
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引用次数: 0

Abstract

Large-scale group decision-making (LSGDM) has become common in the new era of technology development involving a large number of experts. Recently, in the use of social network analysis (SNA), the community detection method has been highlighted by researchers as a useful method in handling the complexity of LSGDM. However, it is still challenging to deal with the reliability and hesitancy of information as well as the interpretability of the method. For this reason, we introduce a new approach of a Z-hesitant fuzzy network with the community detection method being put into practice for stock selection. The proposed approach was subsequently compared to an established approach in order to evaluate its applicability and efficacy.
基于犹豫模糊规则网络的大规模群体资产配置决策方法
在技术发展的新时代,涉及大量专家的大规模群体决策(LSGDM)已成为一种普遍现象。近年来,在社会网络分析(SNA)的应用中,社区检测方法作为处理LSGDM复杂性的一种有效方法受到了研究人员的重视。然而,在处理信息的可靠性和犹豫性以及方法的可解释性方面仍然存在挑战。为此,我们引入了一种新的z -犹豫模糊网络方法,并将社区检测方法应用于股票选择。随后将提出的方法与已建立的方法进行比较,以评估其适用性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information (Switzerland)
Information (Switzerland) Computer Science-Information Systems
CiteScore
6.90
自引率
0.00%
发文量
515
审稿时长
11 weeks
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