Fuzzy Primal Simplex Algorithms for Solving Fuzzy Linear Programming Problems

نویسندگان

  • Nezam Mahdavi-Amiri
  • Seyed Hadi Nasseri
  • Alahbakhsh Yazdani
چکیده

Fuzzy set theory has been applied to many fields, such as operations research, control theory, and management sciences. We consider two classes of fuzzy linear programming (FLP) problems: Fuzzy number linear programming and linear programming with trapezoidal fuzzy variables problems. We state our recently established results and develop fuzzy primal simplex algorithms for solving these problems. Finally, we give illustrative examples.

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تاریخ انتشار 2002