Consistency improvement under a personalized individual semantics context in distributed linguistic group decision making

Consistency measurement is a significant issue in linguistic decision making when preferences are expressed via linguistic preference relations. However, the extant literatures on linguistic consistency generally overlook the fact that even the same word can have diverse meanings for different people, which indicates that people usually possess personalized individual semantics (PISs) over words. Furthermore, with the complexity of the practical decision-making problem increases, decision makers become more likely to be uncertain and hesitant to make their preferences due to the lack of knowledge, therefore, their linguistic preferences may be represented through distributed linguistic representations. However, there are few consistency improving studies on distributed linguistic representations. Therefore, in this study we devise a novel consistency improving approach for dis-tribution linguistic preference relations under a PISs context. Furthermore, the usability and effectiveness of the PISs based consistency improvement method are verified through the detail numerical analysis and comparative study.