CLP(F) module for modeling, solving and improving optimal solution in fuzzy decision-making

A tool for modeling, solving and improving the optimal decision in fuzzy decision-making is presented. It is consistent with Zadeh´s extension principle and Bellman-Zadeh conception of fuzzy decision making. Module is implemented with constraint programming in order to fulfill requisite constraints and to deal with a drowning effect related to the sup-min optimization criterion. Fuzzy intervals, fuzzy constraints and systems of fuzzy constraints are represented with descriptors which assign system of constraints to decision variables for realization of fuzzy interval and the degree of satisfaction for this realization. Computational example is shown in which the improved (robust for drowning effect) schedule is computed with the presented module.