The integration of uncertainty notions into numerical simulation modeling tools is an interesting research field to cope with the lack of models able to deal with non-probabilistic uncertainty. The goal may be reached by exploiting Fuzzy Sets theory which allows analyzing problems from the non-probabilistic point of view. In this work, the problems related with the integration of Fuzzy Sets in discrete event simulation theory are analyzed. New methods are presented to extend simulation to fuzzy simulation. The proposed approach soundness is demonstrated by assuring the possibility to reproduce any possible feasible evolution of a system. A numerical case proposed in literature is used to to benchmark the improvement respect to the state-of-the-art.
A fuzzy linear programming approach to mix product selection problem
NUCCI, Francesco;GRIECO, Antonio Domenico;CAVALLO, CARMELO FABIO
2007-01-01
Abstract
The integration of uncertainty notions into numerical simulation modeling tools is an interesting research field to cope with the lack of models able to deal with non-probabilistic uncertainty. The goal may be reached by exploiting Fuzzy Sets theory which allows analyzing problems from the non-probabilistic point of view. In this work, the problems related with the integration of Fuzzy Sets in discrete event simulation theory are analyzed. New methods are presented to extend simulation to fuzzy simulation. The proposed approach soundness is demonstrated by assuring the possibility to reproduce any possible feasible evolution of a system. A numerical case proposed in literature is used to to benchmark the improvement respect to the state-of-the-art.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
