Fuzzy Set Theory and Advanced Mathematical Applications
Author:   Da Ruan
Publisher:   Springer
Edition:   1995 ed.
Volume:   4
ISBN:  

9780792395867


Pages:   324
Publication Date:   30 June 1995
Format:   Hardback
Availability:   In Print   Availability explained
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Fuzzy Set Theory and Advanced Mathematical Applications


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Overview

This text contains contributions by many of the experts in the field, including coverage of the mathematical foundations of the theory, decision making and systems science. The book examines: fuzzy set theory and its evolution in mathematics; results on foundations of fuzzy set theory; decision making and systems science; and fuzzy control and neural systems.

Full Product Details

Author:   Da Ruan
Publisher:   Springer
Imprint:   Springer
Edition:   1995 ed.
Volume:   4
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   1.470kg
ISBN:  

9780792395867


ISBN 10:   0792395867
Pages:   324
Publication Date:   30 June 1995
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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.

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