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Asymmetric and Compound Preference Aggregators

  • Conference paper
Modeling Decisions for Artificial Intelligence (MDAI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3885))

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Abstract

Choosing among options and selecting the best alternative is a fundamental component of human decision-making. The best alternative is the result of a mental process called system evaluation. The evaluated system can be any collection of interrelated components. The system as a whole and its components are expected to have some desired features and satisfy specific requirements. Consequently, system evaluation is a process of determining the extent to which a system satisfies a given set of requirements.

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© 2006 Springer-Verlag Berlin Heidelberg

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Dujmović, J.J. (2006). Asymmetric and Compound Preference Aggregators. In: Torra, V., Narukawa, Y., Valls, A., Domingo-Ferrer, J. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2006. Lecture Notes in Computer Science(), vol 3885. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11681960_1

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  • DOI: https://doi.org/10.1007/11681960_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32780-6

  • Online ISBN: 978-3-540-32781-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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