Abstract
The work presents a novel approach to discrete choice models. Random utility models are used to describe the utility that every individual associates to each alternative and are usually decomposed into a deterministic part and a stochastic component. Our proposal is to include in the random utility model the observations of past choices through revealed fuzzy preferences and to modify the effects of the stochastic component, by adding some measure of rationality.
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Martinetti, D., Lucadamo, A., Montes, S. (2013). How to Introduce Fuzzy Rationality Measures and Fuzzy Revealed Preferences into a Discrete Choice Model. In: Kruse, R., Berthold, M., Moewes, C., Gil, M., Grzegorzewski, P., Hryniewicz, O. (eds) Synergies of Soft Computing and Statistics for Intelligent Data Analysis. Advances in Intelligent Systems and Computing, vol 190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33042-1_40
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DOI: https://doi.org/10.1007/978-3-642-33042-1_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33041-4
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