Fuzzy measure and the Choquet integral for group multicriteria decision making
S Giove - Neural Nets WIRN Vietri-01: Proceedings of the 12th …, 2001 - Springer
Neural Nets WIRN Vietri-01: Proceedings of the 12th Italian Workshop on Neural …, 2001•Springer
The use of fuzzy measures and the Choquet integral for Multi-Criteria Decision Analysis
(MCDA) is briefly rewieved. Subsequently, an extension to group multicriteria decision
problem is suggested, showing how this approach is more suitable than weight averaging
aggregation between a set of different decision makers, taking into account both the
interaction among the criteria and the interaction among the decision makers.
(MCDA) is briefly rewieved. Subsequently, an extension to group multicriteria decision
problem is suggested, showing how this approach is more suitable than weight averaging
aggregation between a set of different decision makers, taking into account both the
interaction among the criteria and the interaction among the decision makers.
The use of fuzzy measures and the Choquet integral for Multi-Criteria Decision Analysis (MCDA) is briefly rewieved. Subsequently, an extension to group multicriteria decision problem is suggested, showing how this approach is more suitable than weight averaging aggregation between a set of different decision makers, taking into account both the interaction among the criteria and the interaction among the decision makers.
Springer
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