A random fuzzy programming models based on possibilistic programming

Hideki Katagiri*, Takashi Hasuike, Hiroaki Ishii

*この研究の対応する著者

研究成果: Conference article査読

13 被引用数 (Scopus)

抄録

This paper considers linear programming problems where each coefficient of the objective function is expressed by a random fuzzy variable. New decision making models are proposed based on stochastic and possibilistic programming in order to maximize both of possibility and probability with respect to the objective function value. It is shown that each of the proposed models is transformed into a deterministic equivalent one. Solution algorithms using convex programming techniques and/or the bisection method are provided for obtaining an optimal solution of each model.

本文言語English
論文番号4811548
ページ(範囲)1788-1793
ページ数6
ジャーナルConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
DOI
出版ステータスPublished - 2008
外部発表はい
イベント2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008 - Singapore, Singapore
継続期間: 2008 10 122008 10 15

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 制御およびシステム工学
  • 人間とコンピュータの相互作用

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