Building models based on environment with hybrid uncertainty

Junzo Watada

doi:10.1109/ICMSAO.2011.5775646

Building models based on environment with hybrid uncertainty

Junzo Watada^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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.

Original language	English
Title of host publication	2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011
DOIs	https://doi.org/10.1109/ICMSAO.2011.5775646
Publication status	Published - 2011
Event	2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011 - Kuala Lumpur Duration: 2011 Apr 19 → 2011 Apr 21

Other

Other	2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011
City	Kuala Lumpur
Period	11/4/19 → 11/4/21

ASJC Scopus subject areas

Control and Optimization
Modelling and Simulation

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10.1109/ICMSAO.2011.5775646

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title = "Building models based on environment with hybrid uncertainty",

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.",

author = "Junzo Watada",

year = "2011",

doi = "10.1109/ICMSAO.2011.5775646",

language = "English",

isbn = "9781457700057",

booktitle = "2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011",

note = "2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011 ; Conference date: 19-04-2011 Through 21-04-2011",

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T1 - Building models based on environment with hybrid uncertainty

AU - Watada, Junzo

PY - 2011

Y1 - 2011

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AB - 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.

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U2 - 10.1109/ICMSAO.2011.5775646

DO - 10.1109/ICMSAO.2011.5775646

M3 - Conference contribution

AN - SCOPUS:79959648231

SN - 9781457700057

BT - 2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011

T2 - 2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011

Y2 - 19 April 2011 through 21 April 2011

ER -

Building models based on environment with hybrid uncertainty

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