Decision aiding model with Entropy-based subjective utility

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/21010

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DC Field	Value	Language
dc.contributor.author	Aggarwal, Manish
dc.date.accessioned	2018-09-18T11:26:43Z
dc.date.available	2018-09-18T11:26:43Z
dc.date.issued	2018-08-27
dc.identifier.citation	Information Sciences, 27 August 2018
dc.identifier.uri	http://hdl.handle.net/11718/21010
dc.description.abstract	An 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.publisher	Elsevier	en_US
dc.subject	D80	en_US
dc.subject	Subjective utility	en_US
dc.subject	Decision behaviour	en_US
dc.subject	Choice modeling	en_US
dc.subject	Buying behaviour	en_US
dc.title	Decision aiding model with Entropy-based subjective utility	en_US
dc.type	Article	en_US
Appears in Collections:	Journal Articles

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