Knowledge-based validation: synthesis of diagnoses through synthesis of relations
Fuzzy Sets and Systems
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
On Compatibility of Interval Fuzzy Preference Relations
Fuzzy Optimization and Decision Making
Intuitionistic preference relations and their application in group decision making
Information Sciences: an International Journal
Group decision making with incomplete fuzzy linguistic preference relations
International Journal of Intelligent Systems
IEEE Transactions on Fuzzy Systems
Developing a group decision support system based on fuzzy information axiom
Knowledge-Based Systems
Fuzzy Sets and Systems
Information Sciences: an International Journal
Short communication: ANFIS-based approach for predicting sediment transport in clean sewer
Applied Soft Computing
Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
IEEE Transactions on Fuzzy Systems
Intuitionistic Fuzzy Aggregation Operators
IEEE Transactions on Fuzzy Systems
A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets
IEEE Transactions on Fuzzy Systems
Mathematical and Computer Modelling: An International Journal
Distance-based consensus models for fuzzy and multiplicative preference relations
Information Sciences: an International Journal
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Compatibility is a very efficient tool for measuring the consensus level in group decision making (GDM) problems. The lack of acceptable compatibility can lead to unsatisfied or even incorrect results in GDM problems. Preference relations can be given in various forms, one of which called intuitionistic multiplicative preference relation is a new developed preference structure that uses an unsymmetrical scale (Saaty's 1-9 scale) to express the decision maker's preferences instead of the symmetrical scale in an intuitionistic fuzzy preference relation. This new preference relation can reflect our intuition more objectively. In this paper, we first develop some compatibility measures for intuitionistic multiplicative values and intuitionistic multiplicative preference relations in GDM. Their desirable properties are also studied in detail. Furthermore, based on compatibility measures, we further develop two different consensus models with respect to intuitionistic multiplicative preference relations for checking, reaching and improving the group consensus level. Finally, a numerical example is given to illustrate the effectiveness of our measures and models.