On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A Monte Carlo study of pairwise comparison
Information Processing Letters
Direct approach processes in group decision making using linguistic OWA operators
Fuzzy Sets and Systems
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
A note on the internal consistency of various preference representations
Fuzzy Sets and Systems - Special issue: Soft decision analysis
A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators
Fuzzy Sets and Systems - Special issue: Preference modelling and applications
An optimization method for integrating two kinds of preference information in group decision-making
Computers and Industrial Engineering - Special issue: Selected papers from the 27th international conference on computers & industrial engineering
On the fusion of multi-granularity linguistic label sets in group decision making
Computers and Industrial Engineering
A method for group decision making with multi-granularity linguistic assessment information
Information Sciences: an International Journal
Linguistic multiperson decision making based on the use of multiple preference relations
Fuzzy Sets and Systems
IEEE Transactions on Fuzzy Systems
Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Soft Computing in Decision Modeling; Guest Editors: Vicenc Torra, Yasuo Narukawa
Consensus models for AHP group decision making under row geometric mean prioritization method
Decision Support Systems
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Fuzzy Set Theory and Applications; Guest Editors: Ferdinand Chovanec, Olga Nánásiová, Alexander Šostak
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A consensus model for multiperson decision making with different preference structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Fuzzy Systems
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
IEEE Transactions on Fuzzy Systems
Minimum-Cost Consensus Models Under Aggregation Operators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An attitude-driven web consensus support system for heterogeneous group decision making
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
A review of soft consensus models in a fuzzy environment
Information Fusion
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This study proposes a direct consensus framework for multiperson decision making (MPDM) with different preference representation structures (preference orderings, utility functions, multiplicative preference relations and fuzzy preference relations). In this framework, the individual selection methods, associated with different preference representation structures, are used to obtain individual preference vectors of alternatives. Then, the standardized individual preference vectors are aggregated into a collective preference vector. Finally, based on the collective preference vector, the feedback adjustment rules, associated with different preference representation structures, are presented to help the decision makers reach consensus. This study shows that the proposed framework satisfies two desirable properties: (i) the proposed framework can avoid internal inconsistency issue when using the transformation functions among different preference representation structures; (ii) it satisfies the Pareto principle of social choice theory. The results in this study are helpful to complete Chiclana et al.'s MPDM with different preference representation structures.