Consistency Improvement With a Feedback Recommendation in Personalized Linguistic Group Decision Making
针对现有语言决策一致性研究忽略个体语义差异的问题，提出一种基于个性化个体语义的一致性改进方法，通过数值和比较分析验证其可行性。
Consistency is an important issue in linguistic decision making with various consistency measures and consistency improving methods available in the literature. However, existing linguistic consistency studies omit the fact that words mean different things for different people, that is, decision makers' personalized individual semantics (PISs) over their expressed linguistic preferences are ignored. Therefore, the aim of this article is to propose a novel consistency improving approach based on PISs in linguistic group decision making. The proposed approach combines the characteristics of personalized representation and integrates the PIS-based model in measuring and improving the consistency of linguistic preference relations. A detailed numerical and comparative analysis to support the feasibility of the proposed approach is provided.