A parametric approach to fuzzy linear programming

摘要: In this paper we discuss how to deal with decision problems that are described LP models and formulated elements of imprecision uncertainty. More precisely, will study in which the parameters not fully known but only some degree precision. Even incomplete information model builder (or user) is normally able give a realistic interval for an model. For constraint vector combined wishes or leeway on constraints. ambiquity objective function, there preference ordering be found among alternative ways action. We demonstrate these modelling complications can handled help results developed theory fuzzy sets. After overview central contributions linear programming, develop known, precision, show parametrised such way optimal solution becomes function The derived appears fairly easy handle computationally, demonstrated numerical example.