后悔
计算机科学
集合(抽象数据类型)
投影(关系代数)
背景(考古学)
偏爱
决策场理论
模糊集
模糊逻辑
选择(遗传算法)
人工智能
决策模型
运筹学
商业决策图
决策工程
机器学习
决策支持系统
数学
算法
古生物学
统计
生物
程序设计语言
作者
Quanyu Ding,Ying‐Ming Wang,Mark Goh,Rosa M. Rodríguez,Luis Martínez
标识
DOI:10.1016/j.cie.2022.108197
摘要
Real-world decision-making problems are usually defined under uncertain contexts due to their complexity. In such situations, the psychological behavior of decision makers is often ignored, and it is assumed that they can provide accurate knowledge despite of being in a context defined as ‘uncertain’. Such assumptions are not realistic and may bias final decisions. To overcome such problems, this paper aims to consider the psychological behavior of decision makers and facilitate preference modeling under uncertainty in the decision-making process. It will do so by introducing a novel decision-making model that includes new bidirectional projection-based regret theory (RT) measures under a hesitant fuzzy linguistic term set (HFLTS) environment, thus establishing novel utility and new regret-rejoice functions to handle decision-making situations. Eventually, a supplier selection case study is used to show the performance of the proposed method, and a fair comparison with two existing methods is carried out to illustrate the advantages of our method.
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