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Fuzzy logic with engineering applications
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Librairie Eyrolles - Paris 5e
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Fuzzy logic with engineering applications

Fuzzy logic with engineering applications

Timoty J. Ross

628 pages, parution le 08/07/2004

Résumé

Fuzzy logic is a simple phrase that actually refers to a large subject dealing with a set of methods to characterize and quantify uncertainty in engineering systems that arise from ambiguity, imprecision, fuzziness, and lack of knowledge.

This 15-chapter textbook remains the only major text that can be used for both undergraduate and graduate classroom instruction in this technology field. The first eight chapters of the text cover fundamental materials useful in characterizing various forms of uncertainty and in developing the methods to quantify these uncertainties. Four chapters present specific case studies in decision making, classification and pattern recognition, control, simulation, and fuzzy arithmetic. There is one chapter on miscellaneous applications of fuzzy logic, one chapter on new rule-reduction techniques, and the final chapter presents material on other uncertainty theories with examples using evidence theory, possibility theory, and probability theory.

Key features include:

  • end-of-chapter references and exercise problems
  • solutions to selected exercise problems
  • an accompanying online instructors' solution manual
  • accompanying online software and updates
  • examples of applications in most engineering disciplines: civil, chemical, mechanical, electrical, and computer science and engineering

This book will appeal to senior undergraduate and graduate students in engineering, and to graduate students in many other scientific fields. Practitioners in control theory, classification, systems integration and systems modeling and operations research applications will also find this a useful text.

Sommaire

  • Classical Sets and Fuzzy Sets.
  • Classical Relations and Fuzzy Relations.
  • Properties of Membership Functions, Fuzzification, and Defuzzification.
  • Logic and Fuzzy Systems.
  • Development of Membership Functions.
  • Automated Methods for Fuzzy Systems.
  • Fuzzy Systems Simulation.
  • Rule-base Reduction Methods.
  • Decision Making with Fuzzy Information.
  • Fuzzy Classification and Pattern Recognition.
  • Fuzzy Arithmetic and the Extension Principle.
  • Fuzzy Control Systems.
  • Miscellaneous Topics.
  • Monotone Measures: Belief, Plausibility, Probability, and Possibility.
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Caractéristiques techniques

  PAPIER
Éditeur(s) Wiley
Auteur(s) Timoty J. Ross
Parution 08/07/2004
Nb. de pages 628
Format 17 x 24,5
Couverture Broché
Poids 1115g
Intérieur Noir et Blanc
EAN13 9780470860755
ISBN13 978-0-470-86075-5

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