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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Anhui Univ Sch Business Hefei 230601 Anhui Peoples R China Anhui Univ Sch Big Data & Stat Hefei 230601 Anhui Peoples R China Anhui Univ Ctr Appl Math Hefei 230601 Peoples R China Anhui Univ Sch Math Sci Hefei 230601 Peoples R China
出 版 物:《INFORMATION FUSION》 (Inf. Fusion)
年 卷 期:2025年第115卷
核心收录:
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:National Natural Science Foundation of China [72271002, 72171002, 72471001, U22A20366, 71901001] Excellent Youth Fund Project for Colleges and Universities of Anhui Province [2023AH030006] Outstanding Youth Fund Project for Colleges and Universities of Anhui Province [2023AH020009] Top Talent Academic Foundation for University Discipline of Anhui Province [gxbjZD2020056] Excellent University Research and Innovation Team in Anhui Province [2024AH010002] Anhui Provincial Natural Science Foundation [2408085Y035]
主 题:Probabilistic linguistic term sets Multi-attribute group decision-making Weighted moment estimation Consensus reaching process Raw coal quality evaluation
摘 要:Probabilistic linguistic term sets perform a particularly active role in the field of decision-making, particularly regarding decision-makers (DMs) who are inclined to convey evaluative information through natural linguistic variables. To effectively improve the current dilemma of multi-attribute group decision-making (MAGDM), this article put forward a new probabilistic linguistic MAGDM method with weighted Moment estimation. First, taking into account the psychological aspect of regret aversion among DMs, we use regret theory to transform the original decision-making matrix into the utility matrix, in which DMs usually exhibit limited rationality during the process of MAGDM. Then, a combined weighting method and a weighted Moment estimation model are investigated to determine the attribute weights, which are more scientifically and reasonably. Subsequently, in the process of consensus reaching process, a new trust propagation mechanism is designed to derive the weights of experts and the adjustment coefficients, in which we consider the shortest and longest propagation paths among DMs. Finally, an empirical validation of the MAGDM method s applicability is conducted utilizing raw coal quality assessment, accompanied by sensitivity and comparative analyses that underscore its advantages and robustness.