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