An interactive fuzzy approach for multiobjective nonlinear programming problems with fuzzy parameters

In general, two types of fuzziness of human judgements should be incorporated in multiobjective programming problems. One is the expert's ambiguous understanding of the nature of the parameters in the problem formulation process and the other is the fuzzy goals of the decision maker for each of the objective functions. In this paper, we present a new interactive fuzzy approach for obtaining the satisficing solution which efficiently reflects both types of fuzziness. An illustrative numerical example nonlinear programming problems with fuzzy parameters is demonstrated along with the corresponding computer outputs.