Fuzzy Sets in Approximate Reasoning and Information Systems (1999) (The Handbooks of Fuzzy Sets #5)
By: and and
Sign Up Now!
Already a Member? Log In
You must be logged into UK education collection to access this title.
Learn about membership options,
or view our freely available titles.
- Synopsis
- Approximate reasoning is a key motivation in fuzzy sets and possibility theory. This volume provides a coherent view of this field, and its impact on database research and information retrieval. First, the semantic foundations of approximate reasoning are presented. Special emphasis is given to the representation of fuzzy rules and specialized types of approximate reasoning. Then syntactic aspects of approximate reasoning are surveyed and the algebraic underpinnings of fuzzy consequence relations are presented and explained. The second part of the book is devoted to inductive and neuro-fuzzy methods for learning fuzzy rules. It also contains new material on the application of possibility theory to data fusion. The last part of the book surveys the growing literature on fuzzy information systems. Each chapter contains extensive bibliographical material. Fuzzy Sets in Approximate Reasoning and Information Systems is a major source of information for research scholars and graduate students in computer science and artificial intelligence, interested in human information processing.
- Copyright:
- 1999
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781461552437
- Related ISBNs:
- 9780792385844
- Publisher:
- Springer US
- Date of Addition:
- 01/16/21
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Business and Finance, Mathematics and Statistics, Philosophy
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- J.C. Bezdek
- Edited by:
- Didier Dubois
- Edited by:
- Henri Prade
Reviews
Other Books
- by James Bezdek
- by Didier Dubois
- by Henri Prade
- in Nonfiction
- in Computers and Internet
- in Business and Finance
- in Mathematics and Statistics
- in Philosophy