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A Fuzzy Set Theoretic Framework for Knowledge-Based Simulation

S. Rogers
A. Badiru
Journal / Anthology

Computers and Industrial Engineering
Year: 1993
Volume: 25
Issue: 1-4
Page range: 119-122

Complex systems such as an industrial enterprise operating in a physical, biological, socioeconomic environment generally have many ill defined or imprecisely known parameters which are typically approximated by exact numbers or represented with random variables. Fuzzy set theory is a promising alternative for explicitly treating these aspects of a system. This paper describes a fuzzy set theoretic formalism for knowledge-based simulations. A prototype system is being implemented in Mathematica.

*Applied Mathematics > Optimization