Building multi-attribute decision model based on Kansei Information in environment with hybrid uncertainty

Junzo Watada, Junzo Watada and Arbaiy, Nureize Building multi-attribute decision model based on Kansei Information in environment with hybrid uncertainty. In: Intelligent Decision Technologies Proceedings of the 3rd International Conference on Intelligent Decision technologies (IDT'2011). Springer-Verlag Berlin Heidelberg, pp. 103-112. (Unpublished)

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Abstract

The objective of this paper is to build multi attribute decision model considering Kansei information in hybrid uncertain environment. First, fuzzy random variable is explained to deal with the models in hybrid uncertain environment. Section, using fuzzy random variables, linear regression model (FRRM) is formulated. Third, multi-attribute decision model is presented in presence of Kansei information given by experts in an environment with hybrid uncertainty involving both randomness and fuzziness.

Item Type:Book Section
Subjects:Q Science > QA Mathematics > QA273 Probabilities. Mathematical statistics
Divisions:Faculty of Science Computer and Information Technology > Department of Software Engineering
ID Code:3036
Deposited By:Normajihan Abd. Rahman
Deposited On:21 Feb 2013 12:14
Last Modified:21 Feb 2013 12:14

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