Description: Fuzzy Sets in Approximate Reasoning and Information Systems, Paperback by Bezdek, J. C. (EDT); Dubois, Didier (EDT); Prade, Henri (EDT), ISBN 1461373905, ISBN-13 9781461373902, Like New Used, Free shipping in the US 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 th 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 th 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.
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Book Title: Fuzzy Sets in Approximate Reasoning and Information Systems
Number of Pages: Xv, 514 Pages
Publication Name: Fuzzy Sets in Approximate Reasoning and Information Systems
Language: English
Publisher: Springer
Publication Year: 2012
Subject: Management Information Systems, Intelligence (Ai) & Semantics, Logic
Item Weight: 28.7 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Mathematics, Computers
Author: Didier Dubois
Series: The Handbooks of Fuzzy Sets Ser.
Item Width: 6.1 in
Format: Trade Paperback
