Fuzzy Set Theory and Advanced Mathematical Applications de Da Ruan

Fuzzy Set Theory and Advanced Mathematical Applications: International Series in Intelligent Technologies, cartea 4

Da Ruan

en Limba Engleză Paperback – 13 noi 2012

Fuzzy Set Theory and Advanced Mathematical Applications contains contributions by many of the leading experts in the field, including coverage of the mathematical foundations of the theory, decision making and systems science, and recent developments in fuzzy neural control. The book supplies a readable, practical toolkit with a clear introduction to fuzzy set theory and its evolution in mathematics and new results on foundations of fuzzy set theory, decision making and systems science, and fuzzy control and neural systems. Each chapter is self-contained, providing up-to-date coverage of its subject.
Audience: An important reference work for university students, and researchers and engineers working in both industrial and academic settings.

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Paperback (1)	910^.11 lei 6-8 săpt.
Springer Us – 13 noi 2012	910^.11 lei 6-8 săpt.
Hardback (1)	916^.03 lei 6-8 săpt.
Springer Us – 30 iun 1995	916^.03 lei 6-8 săpt.

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Specificații

ISBN-13: 9781461360001
ISBN-10: 1461360005
Pagini: 348
Ilustrații: XVIII, 324 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.49 kg
Ediția:Softcover reprint of the original 1st ed. 1995
Editura: Springer Us
Colecția Springer
Seria International Series in Intelligent Technologies

Locul publicării:New York, NY, United States

Cuprins

1 On the Evolution of the Mathematics of Fuzziness.- 2 Closedness and Upper Semi-Continuity of Fuzzy Multivalued Mappings.- 3 An Order-Theorethic Approach to Solving Sup-T Equations.- 4 Towards a Possibilistic Logic.- 5 Fuzzy Dynamic Programming: a New Quality Through Fuzzy Sets.- 6 On Transitivity of Fuzzy Preference Relations in Ranking Fuzzy Numbers.- 7 Information Aggregation: Ethical and Computational Issues.- 8 On the Notion State in Multistate Structure Function Theory.- 9 Fuzzy Logic And Neural Systems.- 10 Some Mathematical Problems of Fuzzy Controllers.- 11 Keep Fuzzy Controllers Fuzzy.- 12 Comparative Study of Fuzzy Control, Neural Network Control And Neurofuzzy Control.