Stackelberg solutions for random fuzzy two-level linear programming through possibility-based probability model

@article{Sakawa2012StackelbergSF,
  title={Stackelberg solutions for random fuzzy two-level linear programming through possibility-based probability model},
  author={Masatoshi Sakawa and Takeshi Matsui},
  journal={Expert Syst. Appl.},
  year={2012},
  volume={39},
  pages={10898-10903}
}
This paper considers computational methods for obtaining Stackelberg solutions to random fuzzy twolevel linear programming problems. Assuming that the decision makers concerns about the probabilities that their own objective function values are smaller than or equal to certain target values, fuzzy goals of the decision makers for the probabilities are introduced. Using the possibility-based probability model to maximize the degrees of possibility with respect to the attained probability, the… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 30 references

Fuzzy sets and interactive multiobjective optimization

  • M. Sakawa
  • New York: Plenum Press.
  • 1993
Highly Influential
4 Excerpts

Two-level linear programming

  • W. F. Bialas, M. H. Karwan
  • Management Science,
  • 1984
Highly Influential
4 Excerpts

Fuzzy stochastic multiobjective programming

  • M. Sakawa, I. Nishizaki, H. Katagiri
  • 2011
2 Excerpts

Cooperative and noncooperative multi-level programming

  • M. Sakawa, I. Nishizaki
  • 2009
1 Excerpt

Fuzzy random noncooperative two - level linear programming through absolute deviation minimization using possibility and necessity

  • M. Sakawa, K. Kato
  • 2009
1 Excerpt

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