Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic preference relations-Reference-Cited by-同舟云学术

Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic preference relations

Published:2020-02 Issue: Volume:189 Page:105078
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Tang Xiaoan,Peng Zhanglin,Zhang Qiang,Pedrycz Witold,Yang Shanlin

Funder

State Scholarship Fund of China

Natural Science Foundation of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

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