http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Fuzzy expert systems and fuzzy reasoning
1 online resource (xvi, 405 pages) : illustrations
Siler (Kemp-Carraway Heart Institute) and Buckley (mathematics, U. of Alabama) explore the emulation of human thought, complete with its capability to deal with uncertainties, ambiguities, and contradictions. They examine rule-based and neural net systems and give theories and methods readers can use to get programs to execute statements either seq.
FUZZY EXPERT SYSTEMS AND FUZZY REASONING; CONTENTS; Preface; 1 Introduction; 2 Rule-Based Systems: Overview; 3 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: I; 4 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: II; 5 Combining Uncertainties; 6 Inference in an Expert System I; 7 Inference in a Fuzzy Expert System II: Modification of Data and Truth Values; 8 Resolving Contradictions: Possibility and Necessity; 9 Expert System Shells and the Integrated Development Environment (IDE); 10 Simple Example Programs; 11 Running and Debugging Fuzzy Expert Systems I: Parallel Programs.
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010. MiAaHDL
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
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Includes bibliographical references (pages 399-402) and index.
Hoboken, N.J. : Wiley-Interscience, ©2005
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