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Fuzzy Rule-Based Expert Systems and Genetic Machine Learning (Studies in Fuzziness)
  
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Fuzzy Rule-Based Expert Systems and Genetic Machine Learning (Studies in Fuzziness) (Hardcover)

by A. Geyer-Schulz (Editor)
1.0 out of 5 stars See all reviews (1 customer review)

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Product details

  • Hardcover: 413 pages
  • Publisher: Physica-Verlag GmbH & Co (31 Dec 1995)
  • Language English
  • ISBN-10: 379080830X
  • ISBN-13: 978-3790808308
  • Average Customer Review: 1.0 out of 5 stars See all reviews (1 customer review)
  • Amazon.co.uk Sales Rank: 2,936,132 in Books (See Bestsellers in Books)

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Synopsis
This work presents fuzzy rule-languages as links between quantitative and qualitative models. In the first part, the semantic of fuzzy rule-languages is extended with a type system and an object-oriented system. In the second part, fuzzy rule-languages are integrated with genetic algorithms and with classifier systems. For this purpose, the class of genetic algorithms over context-free languages has been developed.

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1.0 out of 5 stars nice title, but rather unfocused, 21 Jul 1999
By A Customer
This review is from: Fuzzy Rule-based Expert Systems and Genetic Machine Learning (Studies in Fuzziness and Soft Computing) (Hardcover)
The author doesn't seem to know which audience to address. He could have referred readers to good intro books on fuzzy/GA, but instead presents half baked chapters on these subjects--several of these are counterproductive. Book is inappropriate as an intro on any subject, and it is of questionable use to advanced users. Also odd is the the coding provided: in APL2... The nicest thing about the book is the title.
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