Group decision making and consensus under fuzzy preferences and fuzzy majority
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
Modeling Decisions: Information Fusion and Aggregation Operators (Cognitive Technologies)
Modeling Decisions: Information Fusion and Aggregation Operators (Cognitive Technologies)
Fuzzy Implications
An automatic approach to reaching consensus in multiple attribute group decision making
Computers and Industrial Engineering
Aggregation Functions: A Guide for Practitioners
Aggregation Functions: A Guide for Practitioners
On generalized Bonferroni mean operators for multi-criteria aggregation
International Journal of Approximate Reasoning
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
Generalized Bonferroni mean operators in multi-criteria aggregation
Fuzzy Sets and Systems
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: an International Journal
Group consensus algorithms based on preference relations
Information Sciences: an International Journal
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
A Survey on Fuzzy Implication Functions
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Collective transitivity in majorities based on difference in support
Fuzzy Sets and Systems
Measuring consensus in a preference-approval context
Information Fusion
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We focus on the problem of constructing functions that are able to measure the degree of consensus for a set of inputs provided over the unit interval. When making evaluations based on inputs from multiple criteria, sources or experts, the resulting output can be seen as the value which best represents the individual contributions. However it may also be desirable to know the extent to which the inputs agree. Does the representative value reflect a universal opinion? Or has there been a high degree of tradeoff? We consider the properties relating to such consensus measures and propose two general models built component-wise from aggregation functions and fuzzy implications.