Fuzzy sets, decision making and expert systems
Fuzzy sets, decision making and expert systems
A fuzzy set theoretic framework for knowledge-based simulation
Proceedings of the 15th annual conference on Computers and industrial engineering
Fuzzy allocation of manufacturing resources
Proceedings of the 21st international conference on Computers and industrial engineering
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
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In this paper we propose an alternative use of commercial object-oriented discrete-event simulators. We attempt to bridge the intrinsic inaccuracy of simulators in modelling real systems affected by fuzziness. The strategy adopted, called pseudo-fuzzy discrete event simulation, models fuzziness through a set of several classic simulation runs to trace an output fuzzy performance function. The idea behind the approach proposed is to use the simulator as a fuzzy operator, which embeds some stochastic functions. A benchmark industrial setting has been used to build a reference simulation model and perform evaluations of the simulation strategy proposed for a specific working case.