Fractile optimization approach for possibilistic programming problem

Abstract

This paper presents the possibilistic programming decision making using a fractile approach. Some real-world problems are formulated as a necessity measure model to deal with the uncertainties which come from vague aspiration and ambiguous coefficients. Thus, the proposed methodology is important in building the problem model and to find the solution. The treatment of the vagueness and ambiguity is given and the fractile approach is used to solve the fuzzy linear programming. An illustrative example explains the proposed model.