Applications of fuzzy logic in bioinformatics volume 9 fuzzy set wikipedia a fuzzy number is a convex normalized fuzzy set of real numbers u r whose membership function is at least segmentally continuous. Notable applications include dynamic programming neural networks hidden markov models support vector machines etc fuzzy set theory and fuzzy logic have been used in bioinformatics but to much less extent than graph theory and machine learning we believe there is much bigger potential for fuzzy set theory and fuzzy logic in bioinformatics. 9 was published in which fuzzy logic based data pre processing is used it is composed of two main steps the use of fuzzy inference rules to transform the gene expression. The capability of fuzzy logic in the development of emerging technologies is introduced in this book the book consists of sixteen chapters showing various applications in the field of bioinformatics health security communications transportations financial management energy and environment systems. The purpose of this paper is to present a general view of the current applications of fuzzy logic in medicine and bioinformatics we particularly review the medical literature using fuzzy logic
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