On Possibilistic Sequencing Problems with Fuzzy Parameters

نویسندگان

  • Adam Kasperski
  • Pawel Zielinski
چکیده

In this paper a wide class of sequencing problems with imprecise parameters is discussed. The imprecision is modeled by using closed intervals and fuzzy intervals, whose membership functions are regarded as possibility distributions for the values of unknown parameters. A possibilistic interpretation of fuzzy problems is provided, some solution concepts are proposed and some algorithms for computing the solutions are designed. Keywords— Sequencing, min-max regret, possibility theory, fuzzy interval, fuzzy optimization and design

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تاریخ انتشار 2009