Binary Fuzzy Relation
Category=PBWX
Category=UYQE
Clustering
Control
Controllers
Data Sets
Decision analysis
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
FL Controller
Function
Fuzzy Clustering
Fuzzy Computation
Fuzzy Control
Fuzzy Controller
Fuzzy Logic
Fuzzy Model
Fuzzy Neuro Systems
Fuzzy Number
Fuzzy Partition
Fuzzy Region
Fuzzy Relation
Fuzzy Rules
Fuzzy Set
Fuzzy Set Theory
Fuzzy Subsets
Fuzzy Systems
Generalized Modus Ponens
Hiroshi
Information processing
Intelligent system design
Logic
Membership
Membership Functions
Neural Networks
Neuro Fuzzy Models
Possibility Distribution
Set
Systems
Takahashi
Vice Versa
Product details
- ISBN 9780750304276
- Weight: 3696g
- Dimensions: 210 x 297mm
- Publication Date: 01 Jan 1998
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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Initially conceived as a methodology for the representation and manipulation of imprecise and vague information, fuzzy computation has found wide use in problems that fall well beyond its originally intended scope of application. Many scientists and engineers now use the paradigms of fuzzy computation to tackle problems that are either intractable or unrealistically time consuming. The extraordinary growth of fuzzy computation in recent years has led to the development of numerous systems of major practical importance in fields ranging from medical diagnosis and automated learning to image understanding and systems control.
The Handbook of Fuzzy Computation provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. Divided into several parts, the handbook presents basic conceptual considerations and case studies of applications of fuzzy computation. It covers the fundamental concepts and techniques for system modeling, information processing, intelligent system design, decision analysis, statistical analysis, pattern recognition, automated learning, and system control and identification. The book also discusses the combination of fuzzy computation techniques with other computational intelligence approaches such as neural and evolutionary computation.
By focusing on the application of fuzzy computation methods to solve problems, this all-encompassing reference work enables scientists and engineers to understand the central aspects of this important computational methodology.
E Ruspini (Edited by) , P Bonissone (Edited by) , W Pedrycz (University of Manitoba, Canada) (Edited by)
