An asymmetric trapezoidal cloud-based linguistic group decision-making method under unbalanced linguistic distribution assessments

2021 ◽  
pp. 107457
Author(s):  
Xiao-kang Wang ◽  
Yi-ting Wang ◽  
Hong-yu Zhang ◽  
Jian-qiang Wang ◽  
Lin Li ◽  
...  
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Linguistic Group

scholarly journals Consistency Improvement With a Feedback Recommendation in Personalized Linguistic Group Decision Making

2021 ◽  
pp. 1-12
Author(s):  
Cong-Cong Li ◽  
Haiming Liang ◽  
Yucheng Dong ◽  
Francisco Chiclana ◽  
Enrique Herrera-Viedma
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Linguistic Group

A Novel Linguistic Group Decision-Making Model Based on Extended Hesitant Fuzzy Linguistic Term Sets

2015 ◽  
Vol 23 (03) ◽  
pp. 379-398 ◽  
Author(s):  
Cuiping Wei ◽  
Na Zhao ◽  
Xijin Tang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Distance Measures ◽  
Linguistic Terms ◽  
Linguistic Information ◽  
Linguistic Group ◽  
Linguistic Term ◽  
Decision Making Model ◽  
Fuzzy Linguistic

Hesitant fuzzy linguistic term set (HFLTS) is a set with ordered consecutive linguistic terms, and is very useful in addressing the situations where people are hesitant in providing their linguistic assessments. Wang [H. Wang, Extended hesitant fuzzy linguistic term sets and their aggregation in group decision making, International Journal of Computational Intelligence Systems 8(1) (2015) 14–33.] removed the consecutive condition to introduce the notion of extended HFLTS (EHFLTS). The generalized form has wider applications in linguistic group decision-making. By introducing distance measures for EHFLTSs, in this paper we develop a novel multi-criteria group decision making model to deal with hesitant fuzzy linguistic information. The model collects group linguistic information by using EHFLTSs and avoids the possible loss of information. Moreover, it can assess the importance weights of criteria according to their subjective and objective information and rank alternatives based on the rationale of TOPSIS. In order to illustrate the applicability of the proposed algorithm, two examples are given and comparisons are made with the other existing methods.

scholarly journals Dealing with incomplete information in linguistic group decision making by means of Interval Type‐2 Fuzzy Sets

2019 ◽  
Vol 34 (6) ◽  
pp. 1261-1280 ◽  
Author(s):  
Raquel Ureña ◽  
Gang Kou ◽  
Jian Wu ◽  
Francisco Chiclana ◽  
Enrique Herrera‐Viedma
Keyword(s):  
Decision Making ◽  
Incomplete Information ◽  
Fuzzy Sets ◽  
Group Decision Making ◽  
Group Decision ◽  
Linguistic Group ◽  
Interval Type
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