Abstract
In the article it is described a new proposal of the transformation of fuzzy constraints in linear programming problem with fuzzy coefficients for hard constraints using triparametric approach. As regards constraint coefficients, it is assumed that they are flat fuzzy numbers on the L-R representation. The method is a trial of generalization of possibilistic approach based on the Zadeh’s extension principle so that the nature of interpretation of fuzzy inequality can be graduated from the most optimistic to the most pessimistic interpretation. The proposed parameters of feasibility enable the person who decides to differentiate preferences in relation to particular constraints.KeywordsMembership FunctionFuzzy NumberLinear Programming ProblemFuzzy OptimizationFuzzy Linear ProgrammingThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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