Interval-Valued Linguistic q-Rung Orthopair Fuzzy TODIM with Unknown Attribute Weight Information

Symmetry Pub Date : 2024-09-05 DOI:10.3390/sym16091161
Yushu Zhang, Fangcheng Tang, Zeyuan Song, Jun Wang
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Abstract

It is widely known that symmetry does exist in management systems, such as economics, management, and even daily life. In addition, effective and qualified decision-making methods can enhance the performance and symmetry of management systems. Hence, this paper focuses on a decision-making method. Linguistic interval-valued q-rung orthopair fuzzy sets (LIVq-ROFSs) have recently been proposed as being effective in describing decision-makers’ evaluation values in complex situations. This paper proposes a novel multi-attribute group decision-making (MAGDM) method with LIVq-ROFSs to handle realistic decision-making problems. The main contributions of this study are three-fold. First, a new method for determining the weight information of attributes based on decision makers’ evaluation values is proposed. Second, the classical TODIM is extended into LIVq-ROFSs and a new decision-making method is proposed. Third, our proposed MAGDM method is applied to a real decision-making problem to reveal its effectiveness.
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具有未知属性权重信息的区间值语言 q-Rung Orthopair 模糊 TODIM
众所周知,对称性确实存在于经济、管理甚至日常生活等管理系统中。此外,有效和合格的决策方法可以提高管理系统的性能和对称性。因此,本文重点探讨一种决策方法。最近有人提出了语言区间值q-rung正对模糊集(LIVq-ROFSs),认为它能有效地描述决策者在复杂情况下的评价值。本文提出了一种使用 LIVq-ROFSs 的新型多属性群体决策(MAGDM)方法,用于处理现实决策问题。本研究的主要贡献有三方面。首先,提出了一种基于决策者评价值确定属性权重信息的新方法。其次,将经典的 TODIM 扩展到 LIVq-ROFSs 中,并提出了一种新的决策方法。第三,将我们提出的 MAGDM 方法应用于实际决策问题,以揭示其有效性。
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