Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems
Decision analysis using belief functions
International Journal of Approximate Reasoning
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
On Compatibility of Interval Fuzzy Preference Relations
Fuzzy Optimization and Decision Making
A preference aggregation method through the estimation of utility intervals
Computers and Operations Research
A Convex Combination Approach for the Weights of Interval Fuzzy Preference Relation
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01
The continuous ordered weighted geometric operator and its application to decision making
Fuzzy Sets and Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
MAGDM Linear-Programming Models With Distinct Uncertain Preference Structures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Intuitionistic Fuzzy Information Aggregation: Theory and Applications
Intuitionistic Fuzzy Information Aggregation: Theory and Applications
Computers and Industrial Engineering
Ordering based decision making - A survey
Information Fusion
Computers and Industrial Engineering
Distance-based consensus models for fuzzy and multiplicative preference relations
Information Sciences: an International Journal
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Interval fuzzy preference relations are an extension of fuzzy preference relations, which are usually used by experts to express their uncertain preference information over objects in group decision making. In this paper, we focus our attention on the investigation of consistency of interval fuzzy preference relations. We first establish a quadratic programming model by minimizing all the deviations of individual interval fuzzy preference relations and collective interval fuzzy preference relation, from which an exact solution can be found to derive the importance weights of experts. Then, we give two approaches to constructing additive and multiplicative consistent interval fuzzy preference relations, respectively, and show the relationship between the consistency of individual interval fuzzy preference relations and the consistency of collective interval fuzzy preference relation. At last, a practical application is given to our models and approaches.