A. Bilbao Terol

TL;DR: A fuzzy G.P. approach is applied to the optimum portfolio for a private investor, taking into account three criteria: return, risk and liquidity, where the goals and the constraints are fuzzy.

TL;DR: To formulate a fuzzy compromise programming problem from a possibilistic multiobjective linear programming problem the fuzzy ideal solution concept is introduced, based on soft preference and indifference relationships and on canonical representation of fuzzy numbers by means of their α-cuts.

TL;DR: A three stage model based on a multi-index model and considering several market scenarios described in an imprecise way by an expert is proposed to mitigate the uncertainty related to the market scenarios and the imprecision and/or vagueness associated with the model data.

TL;DR: This paper proposes a method to solve a multiobjective linear programming problem involving fuzzy parameters (FP-MOLP), whose possibility distributions are given by fuzzy numbers, estimated from the information provided by the DM.

TL;DR: Two different models from the initial solution and based on Goal Programming are developed: an Interval Goal Programming Problem if the relation “as accurate as possible” based on the expected intervals of fuzzy numbers, and an ordinary Goal Programming based onThe expected values of the fuzzy numbers that defined the goals.