A λ-cut approximate algorithm for goal-based bilevel risk management systems

Bilevel programming techniques a re developed for decentralised decision problems with decision makers located in two levels. Both upper and lower decision makers, termed as leader and follower, try to optimize their own objectives in solution procedure but are affected by those of the other levels. When a bilevel decision model is built with fuzzy codlicients and the leader and/or follower have goals for their objectives, we call it fuzzy goal bilevel (FGBL) decision problem. This paper first proposes a A-cut set based FGBL model. A programmable A-CUt approximate algorithm is then presented in detail. Based on this algorithm, a FCBL software system is developed to reach solutions for FGBL decision problems. Finally, two examples are given to illustrate the application of the proposed algorithm.

Citation

Gao, Ya and Zhang, Guangquan and Lu, Jie and Dillon, Tharam and Zeng, Xianyi. 2008. A λ-cut approximate algorithm for goal-based bilevel risk management systems. International Journal of Information Technology and Decision Making. 7 (4): pp. 589-610.

Source Title

International Journal of Information Technology and Decision Making

DOI

10.1142/S0219622008003113

ISSN

02196220

Faculty

Curtin Business School

School of Information Systems

School

Centre for Extended Enterprises and Business Intelligence

Remarks

Electronic version of an article published as International Journal of Information Technology and Decision Making, Volume 7, Issue 4, 2008, pp. 589-610. DOI: 10.1142/S0219622008003113. Copyright © 2008 World Scientific Publishing Co. All rights reserved. Journal URL: http://ideas.repec.org/s/wsi/ijitdm.html.

URI

http://hdl.handle.net/20.500.11937/12766

Collection

Curtin Research Publications