Abstract
The use of fuzzy measures and the Choquet integral for Multi-Criteria Decision Analysis (MCDA) is briefly rewieved. Subsequently, an extension to group multi-criteria 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.
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© 2002 Springer-Verlag London Limited
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Giove, S. (2002). Fuzzy measure and the Choquet integral for group multicriteria decision making. In: Tagliaferri, R., Marinaro, M. (eds) Neural Nets WIRN Vietri-01. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0219-9_4
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DOI: https://doi.org/10.1007/978-1-4471-0219-9_4
Publisher Name: Springer, London
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