Fuzzy Set Theory and Advanced Mathematical Applications
Published on 30. June 1995
Book
Hardback
XVIII, 324 pages
978-0-7923-9586-7 (ISBN)
Description
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.
Audience: An important reference work for university students, and researchers and engineers working in both industrial and academic settings.
More details
Series
Edition
1995 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Product notice
sewn/stitched
Cloth over boards
Illustrations
XVIII, 324 p.
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 21 mm
Weight
662 gr
ISBN-13
978-0-7923-9586-7 (9780792395867)
DOI
10.1007/978-1-4615-2357-4
Schweitzer Classification
Other editions
Additional editions
Book
11/2012
Springer
€160.49
Shipment within 7-9 days
Content
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.