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• W3120362263 abstract "The preference disaggregation paradigm in multi-criteria decision analysis allows inferring a multicriteria preference model for decision makers from their holistic judgments. In the well-known additive value function framework, preference disaggregation methods infer parameters that define the value functions for the multiple criteria. The present work addresses the use of choice-based multiple questions, rather than eliciting a ranking or a classification of alternatives as typically done. It proposes simple mathematical formulations to obtain the most typical value-function shapes (concave, convex, or S-shaped) and a post-optimization step to avoid extreme cases. These methods are applied in an empirical study concerning the preferences of a population towards vehicle technologies. Over a hundred potential vehicle buyers in Portugal were interviewed in person. The analysis examines to what extent respondents are consistent, what do their value functions inferred from choice-based questions look like, and how well do these functions represent their preferences for alternative vehicle technologies. Respondents were found to be frequently inconsistent in their answers to choice-based questions. However, the inferred value functions reproduced their choices with a relatively small internal error. Requiring the value function to have a typical shape did not increase error in general. The post-optimization step contributes to decrease the difference among the criteria weights and matches better the preferences displayed by the respondents when performing an additional task based on a detailed elicitation process." @default.
• W3120362263 created "2021-01-18" @default.
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• W3120362263 date "2021-01-03" @default.
• W3120362263 modified "2023-10-13" @default.
• W3120362263 title "Choice-based preference disaggregation concerning vehicle technologies" @default.
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• W3120362263 doi "https://doi.org/10.1007/s10100-020-00715-4" @default.
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