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The principal constituents of computational intelligence are fuzzy logic, neural networks and evolutionary algorithms, with emphasis in their mutual enhancement. The present paper reviews some applications of these formalisms in the area of medical image processing, where advantage is taken from the ability of fuzzy logic to work with imprecise information,(More)
This paper introduces Lindenmayer fuzzy languages and studies some of their properties. Lindenmayer Languages are characterized by a parallel rewriting generation process. Lindenmayer fuzzy languages are characterized by expressiveness. Closure as well as a non-monotonic development aspects of these languages and their a-cut are discussed.