Applications of fuzzy logic in bioinformatics.9781848162587 Applications of fuzzy logic fuzzy logic, a multivalued (as opposed to binary) logic developed to deal with imprecise or vague data. Classical logic holds that everything can be expressed in binary terms: 0 or 1, black or white, yes or no; in terms of Boolean algebra, everything is in one set or in bioinformatics. Xu, Dong et al. Imperial College Press 2008 225 pages $88.00 Hardcover Series on advances in bioinformatics and computational biology Not to be confused with Biologically-inspired computing. Computational biology is an interdisciplinary field that applies the techniques of computer science, applied mathematics, and statistics to address problems inspired by biology. ; v.9 QH324 Four researchers at the University of Missouri-Columbia show how fuzzy set Fuzzy sets are sets whose elements have degrees of membership. Fuzzy sets have been introduced by Lotfi A. Zadeh (1965) as an extension of the classical notion of set. In classical set theory, the membership of elements in a set is assessed in binary terms according to a bivalent theory and fuzzy logic can be used to process the massive data that is generated in biology by gene sequencing and other new technologies. Their examples are measuring ontological on·to·log·i·cal adj. 1. Of or relating to ontology. 2. Of or relating to essence or the nature of being. 3. similarity, predicting and analyzing protein structure, and analyzing microarray data. The study is suitable as a reference for researchers or as a textbook for a graduate or advanced undergraduate course. Readers and students are assumed to have a grounding in college calculus calculus, branch of mathematics that studies continuously changing quantities. The calculus is characterized by the use of infinite processes, involving passage to a limit—the notion of tending toward, or approaching, an ultimate value. but not necessarily any background in biology. Distributed in the US by World Scientific. ([c]20082005 Book News, Inc., Portland, OR) |
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