Fuzzy: Mathematical Approach to Pattern Recognition - Hardcover

Hardcover

ISBN 10: 0852261934 ISBN 13: 9780852261934

Synopsis

This book presents a new approach to the problems of pattern recognition and machine learning by the use of fuzzy set theory as enunciated by L.A. Zadeh. This approach, according to the authors, is not a competitive one to the statistical and syntactical approaches rather it is a complimentary one and provides very useful mathematical tools and techniques in certain classes of problems where statistical and syntactic approaches are rather difficult to apply. The book provides a lucid presentation of the modern theory of fuzzy sub-sets and its related development. It covers indepth study on evaluation of membership functions, theory of possibility, index of fuzziness, fuzzy entropy, fuzzy statistics, supervised, self-supervised and un-supervised classifications, fuzzy syntactic methods, applications in image enhancement, contour extraction, feature selection, primitive extractions, image description, shape analysis, speech recognition, speaker identification, adaptive recognition, fuzzy grammars, applications in hand-written recognitions, skeletal identification from x-ray pictures etc.

Most of the theoretical results and algorithms on pre-processing, feature/primitive extraction and classifier design using fuzzy mathematics have been presented in a manner suitable for digital computer programming and implementation. Suitable references for further study have also been included. The book has been planned in a fashion that it may be used either in graduate or postgraduate level courses as a part in the subject of pattern recognition including image processing and artificial intelligence or as a reference book for the researchers and professional people in the fields of computer science and mathematics.

Edition details

• Language: English
• ISBN 10: 0852261934
• ISBN 13: 9780852261934
• Binding: Hardcover