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Download Fuzzy Sets in Approximate Reasoning and Information Systems (The Handbooks of Fuzzy Sets) fb2

by J.C. Bezdek,Didier Dubois,Henri Prade

  • ISBN: 0792385845
  • Category: Technology
  • Author: J.C. Bezdek,Didier Dubois,Henri Prade
  • Subcategory: Computer Science
  • Other formats: txt rtf lrf lit
  • Language: English
  • Publisher: Springer; 1999 edition (July 31, 1999)
  • Pages: 514 pages
  • FB2 size: 1387 kb
  • EPUB size: 1596 kb
  • Rating: 4.6
  • Votes: 897
Download Fuzzy Sets in Approximate Reasoning and Information Systems (The Handbooks of Fuzzy Sets) fb2

Article in Fuzzy Sets and Systems 123(3):405–406 · November 2001 with 12 Reads. A new way towards representing ordinary, non necessarily deductive, reasoning that can be particularized into formal ways of doing it depending on the context.

Article in Fuzzy Sets and Systems 123(3):405–406 · November 2001 with 12 Reads. Cite this publication. European Centre for Soft Computing. Do you want to read the rest of this article? Request full-text. History of Fuzzy Sets.

2012 Серия: The Handbooks of Fuzzy Sets Язык: ENG Размер: 2. 9 x 1. 0 x . 7 cm Основная тема: Mathematics Рейтинг: Поставляется из: Германии. The book is addressed to people interested in artificial intelligence, fuzzy control, formal logic, and philosophy.

Approximate reasoning is a key motivation in fuzzy sets and possibility theory. Table of contents (9 chapters). Introduction: Fuzzy Sets in Approximate Reasoning and Intelligent Information Systems Technology. First, the semantic foundations of approximate reasoning are presented. Special emphasis is given to the representation of fuzzy rules and specialized types of approximate reasonin Approximate reasoning is a key motivation in fuzzy sets and possibility theory.

Approximate reasoning is a key motivation in fuzzy sets and possibility . James C. Bezdek, Didier Dubois, Henri Prade. The last part of the book surveys the growing literature on fuzzy information systems. Each chapter contains extensive bibliographical material. ISBN: 0792385845; Издательство: Kluwer Academic Publishers. Approximate reasoning is a key motivation in fuzzy sets and possibility theory.

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Bibliographic Details. Title: Fuzzy Sets in Approximate Reasoning and. Publisher: Kluwer Academic. Since 1961 we've handled thousands of private and technical libraries. Publication Date: 1999. Our family business knows books and we treat our clients with top-notch customer service. If you have any questions about our listings, please don't hesitate to contact us. Visit Seller's Storefront. We do accept checks, however WE DO NOT HOLD OR RESERVE ANY ITEMS.

Fuzzy set theory is not well delineated mathematically. It is determined by a set of papers which either have the word 'fuzzy' in the title or are authored by someone who has written such a paper. I am somewhat horrified that the authors include a bibhography specifically entitled 'nonfuzzy literature'. oceedings{Dubois1980FuzzySA, title {Fuzzy sets and systems: theory and applications}, author {Didier Dubois and Henri Prade}, booktitle {Mathematics in science and engineering}, year {1980} }. Didier Dubois, Henri Prade.

Putting rough sets and fuzzy sets together. Fuzzy numbers: An overview. Kluwer Academic, Dordrecht. D. Dubois and H. Prade. CRC Press, Boca Raton, F. .Linear programming with fuzzy data.

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.

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