Three-way multi-attribute decision making under hesitant fuzzy environments

Three-way multi-attribute decision making under hesitant fuzzy environments
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犹豫模糊环境下的三向多属性决策

DOI:
10.1016/j.ins.2020.12.005
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发表时间:
2021-04
影响因子:
8.1
通讯作者:
Jianming Zhan
Jianming Zhan
中科院分区:
计算机科学1区
文献类型:
--
作者:
Jiajia Wang;Xueling Ma;Zeshui Xu;Jianming Zhan

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在决策过程中,一个犹豫不决的专家可能会遇到困难时,通过单一的评估值评估方案。通过允许一个元素的隶属度由几个可能的值表示的集合,犹豫模糊集(HFS)通常需要解决这种情况。因此,提出一种犹豫模糊(HF)环境下的多属性决策(MADM)方法具有重要意义。另外,三因素决策是一种引入无承诺思想的决策方法,可以有效地降低决策风险。本文提出了基于3WD方法的HF信息多属性决策方法。根据信息表,给出了目标HFS的隶属函数。通过求解传染病诊断问题验证了该方法的有效性。最后,我们给出了所提出的方法和现有的HF MADM方法之间的比较分析。三个实验结果表明,该方法是合理有效的。
In decision making processes, an expert with hesitant attitudes may experience difficulties when evaluating alternatives via a single assessment value. By allowing the membership degree of an element to a set represented by several possible values, hesitant fuzzy sets (HFSs) are usually needed to address this situation. Thus, it is meaningful to put forward a kind of multi-attribute decision making (MADM) method in the hesitant fuzzy (HF) environment. In addition, three-way decision (3WD) is a decision making method by introducing the idea of non-commitments, and it can effectively reduce decision risks. In this paper, the 3WD method-based MADM with HF information is proposed. According to the information table, the membership function of an objective HFS is given. The effectiveness of the proposed method is verified by solving an infectious disease diagnosis problem. Finally, we give a comparative analysis between the proposed method and the existing HF MADM methods. Further, three experimental results show that the proposed method is reasonable and effective.
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