Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems
Combining numerical and linguistic information in group decision making
Information Sciences: an International Journal
Fuzzy preference relations: Aggregation and weight determination
Computers and Industrial Engineering
Prioritization of Incomplete Fuzzy Preference Relation
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Linguistic multiperson decision making based on the use of multiple preference relations
Fuzzy Sets and Systems
Fuzzy Group Decision Making Method and Its Application
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
An approach to group decision-making with uncertain preference ordinals
Computers and Industrial Engineering
Correspondence between Incomplete Fuzzy Preference Relation and Its Priority Vector
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
IEEE Transactions on Fuzzy Systems
Consensus models for AHP group decision making under row geometric mean prioritization method
Decision Support Systems
An optimization framework towards prioritization in fuzzy comparison matrices
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Goal programming methods for constructing additive consistency fuzzy preference relations
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
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The purpose of this paper is to study a group decision-making (GDM) problem in which the preference information about the alternative provided by the decision makers can be of a diverse nature. A new method is presented to deal with the GDM problem with two different formats of preference information on alternatives: fuzzy preference relations and multiplicative preference relations. A two-objective optimization model is constructed to integrate the two formats of preference relations and compute the ranking values of alternatives. Using this method, the ranking of alternatives or selection of the most desirable alternatives is directly done based on the obtained ranking values. A numerical example is also used to illustrate the use of the proposed method.