Many biological systems and objects are intrinsically fuzzy as their  properties and behaviors contain randomness or uncertainty. In addition, it  has been shown that exact or optimal methods have significant limitation in  many bioinformatics problems. Fuzzy set theory and fuzzy logic are ideal to  describe some biological systems/objects and provide good tools for some  bioinformatics problems. This book comprehensively addresses several important  bioinformatics topics using fuzzy concepts and approaches, including  measurement of ontological similarity, protein structure prediction/analysis,  and microarray data analysis. It also reviews other bioinformatics  applications using fuzzy techniques.    Contents:  Introduction to Bioinformatics; Introduction to Fuzzy Set Theory and  Fuzzy Logic; Fuzzy Similarities in Ontologies; Fuzzy Logic in Structural  Bioinformatics; Application of Fuzzy Logic in Microarray Data Analyses; Other  Applications; Summary and Outlook.

Applications of fuzzy logic in bioinformatics PDF

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