Interactive fuzzy programming based on a probability maximization model for two-level stochastic linear programming problems

In this paper, considering the two‐level linear programming problem, which is a numerical model for the optimization of a hierarchical system by two decisionmakers, we focus on the situation where the coefficients are stochastic variables and reduce the formulated two‐level stochastic linear program...

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Vydané v:Electronics & communications in Japan. Part 3, Fundamental electronic science Ročník 89; číslo 2; s. 33 - 42
Hlavní autori: Kato, Kosuke, Katagiri, Hideki, Sakawa, Masatoshi, Wang, Jingtao
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.02.2006
Predmet:
chance constraint
interactive fuzzy programming
probability maximization model
two-level stochastic linear programming problem
ISSN:1042-0967, 1520-6440
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Shrnutí:In this paper, considering the two‐level linear programming problem, which is a numerical model for the optimization of a hierarchical system by two decisionmakers, we focus on the situation where the coefficients are stochastic variables and reduce the formulated two‐level stochastic linear programming problem to an ordinary two‐level programming problem based on the probability maximization model in chance‐constrained programming. Based on the assumption that motivation exists for cooperation between the high‐level decisionmaker and the low‐level decisionmaker in this resulting two‐level programming problem, we consider interactive fuzzy programming that interactively derives a satisfactory solution of the high‐level decisionmaker while considering the balance with the degree of satisfaction of the low‐level decisionmaker. © 2005 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 89(2): 33–42, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.20166
Bibliografia:ArticleID:ECJC20166
istex:91DEB8421B57E58306D2DDA821F343E759FAA5E6
ark:/67375/WNG-N7CN5FN0-4
ISSN:1042-0967
1520-6440
DOI:10.1002/ecjc.20166