English, Article edition: A λ-CUT APPROXIMATE ALGORITHM FOR GOAL-BASED BILEVEL RISK MANAGEMENT SYSTEMS YA GAO; GUANGQUAN ZHANG; JIE LU; ...

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Bookmark: http://trove.nla.gov.au/version/36546
Physical Description
  • article
Language
  • English

Edition details

Title
  • A λ-CUT APPROXIMATE ALGORITHM FOR GOAL-BASED BILEVEL RISK MANAGEMENT SYSTEMS
Author
  • YA GAO
  • GUANGQUAN ZHANG
  • JIE LU
  • THARAM DILLON
  • XIANYI ZENG
Physical Description
  • article
Notes
  • Bilevel programming techniques are developed for decentralized 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 coefficients 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 λ-cut set based FGBL model. A programmable λ-cut approximate algorithm is then presented in detail. Based on this algorithm, a FGBL software system is developed to reach solutions for FGBL decision problems. Finally, two examples are given to illustrate the application of the proposed algorithm.
  • Bilevel decision making, goal programming, fuzzy sets, optimization, risk management
  • RePEc:wsi:ijitdm:v:07:y:2008:i:04:p:589-610
Language
  • English
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