Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

The Sensitivity Analysis of Bi-level Decision Problem Based on Modified Simplex Method

Authors
Yujie Tao
Corresponding Author
Yujie Tao
Available Online August 2012.
DOI
10.2991/iccasm.2012.294How to use a DOI?
Keywords
Bi-level decision, Sensitivity analysis, Parameter, Feasible set, Admissible se
Abstract

The bi-level decision making system involves two optimization decision problems. The target value of the upper level decision problem is implicitly determined by the solution of the lower problem. In This paper discusses the sensitivity analysis of bi-level linear programming while the value coefficients of the lower level decision contains parameter and studies the conditions of optimal solution while parameter continue (or perturbation) in definite direction. The result provides the decision basis for decision maker.)

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
10.2991/iccasm.2012.294
ISSN
1951-6851
DOI
10.2991/iccasm.2012.294How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yujie Tao
PY  - 2012/08
DA  - 2012/08
TI  - The Sensitivity Analysis of Bi-level Decision Problem Based on Modified Simplex Method
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1155
EP  - 1157
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.294
DO  - 10.2991/iccasm.2012.294
ID  - Tao2012/08
ER  -