山西大学学报（自然科学版）2025，Vol.48Issue(3)：492-504,13.DOI:10.13451/j.sxu.ns.2023168
基于后悔理论和可调多粒度复模糊概率粗糙集的三支群决策
Three-way Group Decision-making Based on Regret Theory and Adjustable Multi-granulation Complex Fuzzy Probabilistic Rough Sets
摘要
Abstract
This paper embarks on an extensive exploration of the challenges inherent in traditional three-way decision-making meth-odologies.First,these conventional approaches necessitate precise subjective threshold definitions,rendering them less adaptable across diverse scenarios.Second,their interpretability in information fusion is often lacking,resulting in ambiguous decision criteria.To address these issues,this paper introduces a novel approach that leverages complex fuzzy sets to establish an adjustable multi-granularity complex fuzzy information system.It integrates decision-based three-way decision techniques to derive classification thresholds objectively,yielding an adjustable multi-granularity complex fuzzy probabilistic rough set.Furthermore,the paper ac-knowledges the constraints of bounded rationality that decision-makers encounter in real-world scenarios.Within the framework of behavioral decision theory,this work provides a more comprehensive depiction of how psychological factors influence decision out-comes.In essence,this paper proposes a multi-granularity three-way decision model grounded in complex fuzzy sets and regret theo-ry,designed to tackle complex multi-attribute group decision-making problems.To validate the model's effectiveness in addressing decision challenges related to decision risk and bounded rationality within a complex fuzzy environment,the paper conducts an in-depth experimental analysis using a shared bicycle rental dataset.The results underscore the model's feasibility and efficacy,particu-larly in enhancing fault tolerance and leveraging expert experience.关键词
决策智能/行为决策/多粒度/智能交通系统Key words
decision intelligence/behavioral decision/multi-granularity/intelligent transportation systems分类
计算机与自动化引用本文复制引用
张嘉辉,张超,李德玉,庞继芳..基于后悔理论和可调多粒度复模糊概率粗糙集的三支群决策[J].山西大学学报（自然科学版）,2025,48(3):492-504,13.基金项目
国家自然科学基金(62272284 （）
62006148 （）
62072294 （）
61972238) （）
山西省科技创新青年人才团队项目(202204051001015) （202204051001015）
山西省高等学校青年科研人员培育计划 （）
山西省高等学校优秀成果培育项目(2019SK036) （2019SK036）
