Cong-Cong Li

TL;DR: In this article, a personalized individual semantics (PIS) model is proposed to personalize individual semantics by means of an interval numerical scale and the 2-tuple linguistic model, and a new CW framework is defined, such a CW framework allows us to deal with PIS to facilitate CW keeping the idea that words mean different things to different people.

TL;DR: A consensus process based on PIS, including the consensus measure and feedback recommendation phases, is proposed to improve the willingness of decision makers who follow the suggestions to revise their preferences in order to achieve a consensus in linguistic LSGDM problems.

TL;DR: This study provides a connection between two different models based on linguistic 2-tuples and proves the equivalence of the linguistic computational models to handle ULTSs, and proposes a novel CW methodology where the hesitant fuzzy linguistic term sets (HFLTSs) can be constructed based on ULtss using a numerical scale.

TL;DR: A consensus model is presented to help the decision makers reach a consensus and provides a new way to simultaneously manage individual consistency and group consensus in a linear programming model, which minimizes information loss when reaching the established consensus level.

TL;DR: The origin and basic research paradigm of the FMMA/C is analyzed, and the feedback mechanism with minimum adjustment or cost has been developed and widely used in various group decision making contexts to improve consensus efficiency.