A λ-cut approximate algorithm for goal-based bilevel risk management systems
MetadataShow full item record
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.
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.
Showing items related by title, author, creator and subject.
Zhang, G.; Lu, J.; Dillon, Tharam S. (2007)Decisions in a decentralized organization often involve two levels. The leader at the upper level attempts to optimize his/her objective but is affected by the follower; the follower at the lower level tries to find an ...
Lu, J.; Zhang, G.; Dillon, Tharam S. (2008)Many industrial decisions problems are decentralized in which decision makers are arranged at two levels, called bilevel decision problems. Bilevel decision making may involve uncertain parameters which appear either in ...
A study of the perception of the impact of modeling on the development of commitment to action in Decision Conferencing.Wood, Margaret Ann (2004)Managers are increasingly faced with making complex decisions in turbulent organisational environments. This has led to greater information processing demands. Increasingly organisations try to deal with this in such a ...