Fundamentals of Fuzzy Sets

Henri Prade

ISBN 10: 079237732X / ISBN 13: 9780792377320

Editore: Springer US Jan 2000, 2000

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This item is printed on demand - it takes 3-4 days longer - Neuware -Fundamentals of Fuzzy Sets covers the basic elements of fuzzy set theory. Its four-part organization provides easy referencing of recent as well as older results in the field. The first part discusses the historical emergence of fuzzy sets, and delves into fuzzy set connectives, and the representation and measurement of membership functions. The second part covers fuzzy relations, including orderings, similarity, and relational equations. The third part, devoted to uncertainty modelling, introduces possibility theory, contrasting and relating it with probabilities, and reviews information measures of specificity and fuzziness. The last part concerns fuzzy sets on the real line - computation with fuzzy intervals, metric topology of fuzzy numbers, and the calculus of fuzzy-valued functions. Each chapter is written by one or more recognized specialists and offers a tutorial introduction to the topics, together with an extensive bibliography. 674 pp. Englisch.

Codice articolo 9780792377320

Dati bibliografici

• Titolo: Fundamentals of Fuzzy Sets
• Editore: Springer US Jan 2000
• Data di pubblicazione: 2000
• Lingua: Inglese
• ISBN 10: 079237732X
• ISBN 13: 9780792377320
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 241 L x 160 A x 42 P (millimetri) 241 millimetri di larghezza per 160 millimetri di altezza per 42 millimetri di profondità
• Peso: 1165 grammi

Descrizione articolo

Riassunto

Fundamentals of Fuzzy Sets covers the basic elements of fuzzy set theory. Its four-part organization provides easy referencing of recent as well as older results in the field.
The first part discusses the historical emergence of fuzzy sets, and delves into fuzzy set connectives, and the representation and measurement of membership functions. The second part covers fuzzy relations, including orderings, similarity, and relational equations. The third part, devoted to uncertainty modelling, introduces possibility theory, contrasting and relating it with probabilities, and reviews information measures of specificity and fuzziness. The last part concerns fuzzy sets on the real line - computation with fuzzy intervals, metric topology of fuzzy numbers, and the calculus of fuzzy-valued functions. Each chapter is written by one or more recognized specialists and offers a tutorial introduction to the topics, together with an extensive bibliography.

Contenuti

Foreword; L.A. Zadeh. Preface. Series Foreword. Contributing Authors. General Introduction; D. Dubois, H. Prade. Part I: Fuzzy Sets. 1. Fuzzy Sets: History and Basic Notions; D. Dubois, et al. 2. Fuzzy Set-Theoretic Operators and Quantifiers; J. Fodor, R.R. Yager. 3. Measurement of Membership Functions: Theoretical and Empirical Work; T. Bilgic, I.B. Türksen. Part II: Fuzzy Relations. 4. An Introduction to Fuzzy Relations; S. Ovchinnikov. 5. Fuzzy Equivalence Relations: Advanced Material; D. Boixader, et al. 6. Analytical Solution Methods for Fuzzy Relational Equations; B. De Baets. Part III: Uncertainty. 7. Possibility Theory, Probability and Fuzzy Sets: Misunderstandings, Bridges and Gaps; D. Dubois, et al. 8. Measures of Uncertainty and Information; G.J. Klir. 9. Quantifying Different Facets of Fuzzy Uncertainty; N.R. Pal, J.C. Bezdek. Part IV: Fuzzy Sets on the Real Line. 10. Fuzzy Interval Analysis; D. Dubois, et al. 11. Metric Topology of Fuzzy Numbers and Fuzzy Analysis; P. Diamond, P. Kloeden. Index.