Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems
A sequential selection process in group decision making with a linguistic assessment approach
Information Sciences—Intelligent Systems: An International Journal
A Procedure for Decision Making Based on Incomplete Fuzzy Preference Relation
Fuzzy Optimization and Decision Making
Incomplete linguistic preference relations and their fusion
Information Fusion
Dependent uncertain ordered weighted aggregation operators
Information Fusion
Fuzzy Multi-criteria Decision Making Based on Fuzzy Preference Relation
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Computers and Industrial Engineering
The continuous ordered weighted geometric operator and its application to decision making
Fuzzy Sets and Systems
Fuzzy preferences in conflict resolution
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Computers and Industrial Engineering
Information Sciences: an International Journal
Some issues on properties of the extended IOWA operators in fuzzy group decision making
Expert Systems with Applications: An International Journal
Consistency of interval fuzzy preference relations in group decision making
Applied Soft Computing
Consolidating SWOT analysis with nonhomogeneous uncertain preference information
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Mathematical and Computer Modelling: An International Journal
Interval-valued hesitant preference relations and their applications to group decision making
Knowledge-Based Systems
Group decision making model and approach based on interval preference orderings
Computers and Industrial Engineering
Incomplete interval fuzzy preference relations and their applications
Computers and Industrial Engineering
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This paper defines the concept of compatibility degree of two interval fuzzy preference relations, and gives a compatibility index of two interval fuzzy preference relations. It is proven that an interval fuzzy preference relation B and the synthetic interval fuzzy preference relation of interval fuzzy preference relations A1,A2,…,As are of acceptable compatibility under the condition that the interval fuzzy preference relation B and each of the interval fuzzy preference relations Al,A2,…,As are of acceptable compatibility, and thus a theoretic basis has been developed for the application of the interval fuzzy preference relations in group decision making.