A novel multi-criteria group decision-making method for heterogeneous and dynamic contexts using multi-granular fuzzy linguistic modelling and consensus measures

被引：92
作者：
Morente-Molinera, J. A. [1 ]
Wu, X. [2 ]
Morfeq, A. [3 ]
Al-Hmouz, R. [3 ]
Herrera-Viedma, E. [1 ,3 ]
机构：
[1] Andalusian Res Inst Data Sci & Computat Intellige, Granada, Spain
[2] Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China
[3] Abdulaziz Univ, Fac Engn, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia
来源：
INFORMATION FUSION | 2020年 / 53卷
关键词：
Multi-criteria group decision-making; Consensus measures; Multi-granular fuzzy linguistic modelling; Computing with words; AGGREGATION OPERATORS; SOCIAL NETWORK; SUPPORT-SYSTEM; SELECTION; COST;
D O I：
10.1016/j.inffus.2019.06.028
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a novel multi-criteria group decision-making method that is capable of working in heterogeneous and dynamic environments. It is applicable in non-static frameworks where the decision context can vary at any time during the process. It also makes experts comfortable by allowing them to provide information using their most preferred means. By using multi-granular fuzzy linguistic modelling, the experts can provide preferences using their preferred linguistic label set. Furthermore, they also can choose the criteria values that they want to provide preferences for. Also, experts, alternatives and criteria can be added at any time during the decision process. Finally, consensus measures are applied in order to promote further debate and to help the experts reach an agreement.
引用
收藏
页码：240 / 250
页数：11
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