Abstract
In conventional decision making problems, the estimation of the parameters of the model is often a problematic task. Normally they are either given by the decision maker (DM) who has imprecise information and/or expresses his/her considerations subjectively, or by statistical inference from past data and, consequently, their stability is doubtful. Therefore, it is reasonable to construct a model reflecting imprecise data or ambiguity in terms of fuzzy sets. This is the reason why a lot of fuzzy approaches to linear programming have been developed.
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