Decision theory: an introduction to the mathematics of rationality
Decision theory: an introduction to the mathematics of rationality
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Genetic algorithm crossover operators for ordering applications
Computers and Operations Research - Special issue on genetic algorithms
Fuzzy multiple criteria decision making: recent developments
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
Choice processes for non-homogeneous group decision making in linguistic setting
Fuzzy Sets and Systems
Preferences and their application in evolutionary multiobjectiveoptimization
IEEE Transactions on Evolutionary Computation
Methodologies and Algorithms for Group-Rankings Decision
Management Science
A Study to Apply Intelligent Agents for B2C Shopping Mall
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Recent Literature Collected by Didier DUBOIS, Henri PRADE and Salvatore SESSA
Fuzzy Sets and Systems
An approach to group ranking decisions in a dynamic environment
Decision Support Systems
The k-allocation problem and its variants
WAOA'06 Proceedings of the 4th international conference on Approximation and Online Algorithms
Mining consensus preference graphs from users' ranking data
Decision Support Systems
Recommendations of closed consensus temporal patterns by group decision making
Knowledge-Based Systems
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Classical decision theory does not provide a suitable theoretical basis for designing group decision agents because the concept of collective preference is not well defined. Here, we propose a model based on fuzzy preferences. A degree of truth is associated with the group preference relation. Fairness, equity, power of majority and compromise with significant minorities are modeled using concordance and discordance principles, reflecting the natural heuristic of collaborative groups making acceptable consensus decisions. Exploitation of the fuzzy group preference relation is performed solving a multiobjective optimization problem with an evolutionary algorithm. The designed agent shows very good performance in some test examples, obtaining better results than Condorcet and Borda methods.