In the last decade, cellular automata models have been widely used for simulation spatial phenomena; however, exact nature of these models have been lead to various limitations for essential simulation of these phenomena. In this research, traditional cellular automata models have been developed through fuzzy theory, in which, transition rules are expressed based on fuzzy logic control methodology. In practice, this model has been used for simulation of urban growth in Esfahan between 1990 and 2009. Keywords: Cellular automata, Fuzzy set theory, Urban development, Error matrix.
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