Managing Consistency and Consensus Issues in Group Decision-Making with Self-Confident Additive Preference Relations and Without Feedback: A Nonlinear Optimization Method

2021 ◽  
Author(s):  
Wenqi Liu ◽  
Hengjie Zhang ◽  
Haiming Liang ◽  
Cong-cong Li ◽  
Yucheng Dong
Keyword(s):  
Decision Making ◽  
Nonlinear Optimization ◽  
Group Decision Making ◽  
Group Decision ◽  
Optimization Method ◽  
Preference Relations ◽  
Nonlinear Optimization Method

A New Model for Interactive Group Decision Making with Intuitionistic Fuzzy Preference Relations

Informatica ◽  
2016 ◽  
Vol 27 (4) ◽  
pp. 911-928 ◽  
Author(s):  
Shouzhen Zeng ◽  
Daniel Palacios-Marqués ◽  
Facang Zhu
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
New Model ◽  
Preference Relations ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Preference Relations ◽  
Fuzzy Preference

Expected consistency-based model and multiplicative DEA cross-efficiency for group decision-making with incomplete distribution linguistic preference relations

2021 ◽  
pp. 1-21
Author(s):  
Jinpei Liu ◽  
Longlong Shao ◽  
Ligang Zhou ◽  
Feifei Jin
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Optimization Model ◽  
Group Decision ◽  
Preference Relation ◽  
Preference Relations ◽  
Priority Vector ◽  
Linguistic Preference Relation ◽  
Multiplicative Preference Relations ◽  
High Consistency

Faced with complex decision problems, Distribution linguistic preference relation (DLPR) is an effective way for decision-makers (DMs) to express preference information. However, due to the complexity of the decision-making environment, DMs may not be able to provide complete linguistic distribution for all linguistic terms in DLPRs, which results in incomplete DLPRs. Therefore, in order to solve group decision-making (GDM) with incomplete DLPRs, this paper proposes expected consistency-based model and multiplicative DEA cross-efficiency. For a given incomplete DLPRs, we first propose an optimization model to obtain complete DLPR. This optimization model can evaluate the missing linguistic distribution and ensure that the obtained DLPR has a high consistency level. And then, we develop a transformation function that can transform DLPRs into multiplicative preference relations (MPRs). Furthermore, we design an improved multiplicative DEA model to obtain the priority vector of MPR for ranking all alternatives. Finally, a numerical example is provided to show the rationality and applicability of the proposed GDM method.

Group decision making based on vague preference relations

2012 ◽  
Author(s):  
Jianlong Hu ◽  
Yanhui Zhai ◽  
Deyu Li ◽  
Hua Li
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Preference Relations
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