DocumentCode :
3244616
Title :
Building models based on environment with hybrid uncertainty
Author :
Watada, Junzo
Author_Institution :
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
fYear :
2011
fDate :
19-21 April 2011
Firstpage :
1
Lastpage :
10
Abstract :
The objective of this paper is to build several models considering hybrid uncertain environment. First, fuzzy random variable is explained to deal with the models in hybrid uncertain environment. Second, using fuzzy random variables, linear regression model (FRRM) is formulated. Third, multi-attribute decision model (MADM) is built based on linear regression model. Finally, to study facility location problems in presence of a hybrid uncertain environment involving both randomness and fuzziness. A two-stage fuzzy random facility location model with recourse (FLMR) is developed in which both the demands and costs are assumed to be fuzzy random variables.
Keywords :
facility location; fuzzy set theory; regression analysis; building models; fuzzy random facility location model; fuzzy random variable; hybrid uncertain environment; linear regression model; multiattribute decision model; Analytical models; Data models; Linear regression; Mathematical model; Numerical models; Random variables; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling, Simulation and Applied Optimization (ICMSAO), 2011 4th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0003-3
Type :
conf
DOI :
10.1109/ICMSAO.2011.5775646
Filename :
5775646
Link To Document :
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