期刊
INFORMATION SCIENCES
卷 414, 期 -, 页码 260-275出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2017.06.006
关键词
Group decision making; Probabilistic linguistic term set; Consensus; Probabilistic linguistic preference relations; Aggregation operators
资金
- National Natural Science Foundation of China [71571123, 71532007, 71501135]
- China Postdoctoral Science Foundation [2016T90863]
- Scientific Research Foundation for Excellent Young Scholars at Sichuan University [2016SCU04A23]
In group decision making (GDM) process, consensus is a fundamental problem. The information provided by the experts in a GDM problem is usually expressed as preferences, and the linguistic preference relation (LPR) is one of the most frequently used structures to model the experts' preferences. As a new type of LPR, the probabilistic linguistic preference relation (PLPR) not only allows the experts to provide more than one linguistic term about linguistic variables, but also reflects different importance degrees of the possible preference values. This paper focuses on the consensus reaching process for GDM with PLPRs. An index for measuring the consensus degree is defined first. Then, as for the expert group with unacceptable consensus degree, a consensus improving method is introduced based on the consistency and consensus criteria. Moreover, the whole GDM process is introduced based on the aggregation operators for the probabilistic linguistic term sets (PLTSs). Finally, an application case about medical information presented on search engine is discussed. (C) 2017 Elsevier Inc. All rights reserved.
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