FUZZY LINEAR-PROGRAMMING BASED OPTIMAL FUEL SCHEDULING INCORPORATING BLENDING TRANSLOADING FACILITIES/

In this paper the blending/transloading facilities are modeled using a n interactive fuzzy linear programming (FLP), in order to allow the de cision-maker to solve the problem of uncertainty of input information within the fuel scheduling optimization. An interactive decision-makin g process is formulated in which decision-maker can learn to recognize good solutions by considering all possibilities of fuzziness. The app lication of the fuzzy formulation is accompanied by a careful examinat ion of the definition of fuzziness, appropriateness of the membership function and interpretation of results. The proposed concept provides a decision support system with integration-oriented features, whereby the decision-maker can learn to recognize the relative importance of f actors in the specific domain of optimal fuel scheduling (OFS) problem . The formulation of a fuzzy linear programming problem to obtain a re asonable nonfuzzy solution under consideration of the ambiguity of par ameters, represented by fuzzy numbers, is introduced. An additional ad vantage of the FLP formulation is its ability to deal with multi-objec tive problems.