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Fuzzy measure and the Choquet integral for group multicriteria decision making

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Neural Nets WIRN Vietri-01

Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

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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

  • Print ISBN: 978-1-85233-505-2

  • Online ISBN: 978-1-4471-0219-9

  • eBook Packages: Springer Book Archive

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