A case study on Morphological Data from Eimeria of Domestic Fowl using a Multiobjective Genetic Algorithm and R&P for Learning and Tuning Fuzzy Rules for Classification

Abstract

In this paper, we use fuzzy rule-based classification systems for classify cells of the Eimeria of Domestic Fowl based on Morphological Data. Thirteen features were extracted of the images of the cells, these features are genetically processed for learning fuzzy rules and a method reward and punishment for tuning the weights of the fuzzy rules. The… (More)

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