Linear programming under fuzzy type uncertainty. Applications and extensions

M. Arana Jiménez

In this work, a modeling framework for linear problems is presented, where parameters and variables involved in objective function as well as in constraints can be assumed fuzzy numbers. It is proved that the considered fuzzy problem can be equivalently formulated as a (crisp) multiple objective programming problem. The solution method is illustrated with computational examples and applications. Possible extensions are discussed.

Keywords: fuzzy numbers, multiobjective, linear programming.

OC-1 Combinatorial and Optimization
September 3, 2019  6:30 PM
I3L9. Georgina Blanes building

B. González Rodríguez, J. González Díaz, Á. M. González Rueda, J. Ossorio Castillo, D. Rodríguez Penas, D. Rodríguez Martínez

J. B. Grau Oliver, A. Saa Requejo, J. A. Guatoluña Parra, F. Colombo Speroni