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dc.contributor.authorAggarwal, Manish
dc.date.accessioned2018-09-18T11:26:43Z
dc.date.available2018-09-18T11:26:43Z
dc.date.issued2018-08-27
dc.identifier.citationInformation Sciences, 27 August 2018
dc.identifier.urihttp://hdl.handle.net/11718/21010
dc.description.abstractAn entropy-based method is presented to model a decision-maker’s (DM’s) subjective utility for a criterion value. The proposed method considers distribution of all the values that the criterion takes for the given set of alternatives. Based on the utility so modeled, and and the DM’s attitudinal character, a multi criteria decision aiding (MCDA) approach is developed to find the best alternative. The proposed method and the approach are applied in a real car selection case-study.en_US
dc.publisherElsevieren_US
dc.subjectD80en_US
dc.subjectSubjective utilityen_US
dc.subjectDecision behaviouren_US
dc.subjectChoice modelingen_US
dc.subjectBuying behaviouren_US
dc.titleDecision aiding model with Entropy-based subjective utilityen_US
dc.typeArticleen_US


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