Soft Computing and Its Applications, Volume One

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A01=Kumar S. Ray
Author_Kumar S. Ray
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computational intelligence
DNA Computing
engineering data analysis
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FIS
Fuzzy Implications
Fuzzy Implications and Fuzzy If-Then Models
fuzzy inference systems
Fuzzy Logic
Fuzzy Model
Fuzzy Number
Fuzzy Operators
Fuzzy Operators and Fuzzy Relations
Fuzzy Relation
Fuzzy Set
Fuzzy Sets
Fuzzy Subset
Interval Type-2 Fuzzy Sets
Left Continuous T-norm
LINGUISTIC PREFERENCE RELATION
Lukasiewicz Logic
Membership Function
Notion of Soft Computing
OWA Operator
OWA Weight
real-world problem solving
Rough Set
rough set theory
Secondary Membership Function
Soft Computing
TFN
Trapezoidal Fuzzy Number
Type-2 Fuzzy Sets
uncertainty handling in engineering
uncertainty modeling

Product details

  • ISBN 9781926895383
  • Weight: 1330g
  • Dimensions: 156 x 234mm
  • Publication Date: 16 Sep 2014
  • Publisher: Apple Academic Press Inc.
  • Publication City/Country: CA
  • Product Form: Hardback
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This is volume 1 of the two-volume set Soft Computing and Its Applications. This volume explains the primary tools of soft computing as well as provides an abundance of working examples and detailed design studies. The book starts with coverage of fuzzy sets and fuzzy logic and their various approaches to fuzzy reasoning. Precisely speaking, this book provides a platform for handling different kinds of uncertainties of real-life problems. It introduces the reader to the topic of rough sets. This book’s companion volume, Volume 2: Fuzzy Reasoning and Fuzzy Control, will move forward from here to discuss several advanced features of soft computing and application methodologies.

This new book:

• Discusses the present state of art of soft computing

•Includes the existing application areas of soft computing

• Presents original research contributions

• Discusses the future scope of work in soft computing

The book is unique in that it bridges the gap between theory and practice, and it presents several experimental results on synthetic data and real-life data. The book provides a unified platform for applied scientists and engineers in different fields and industries for the application of soft computing tools in many diverse domains of engineering.

Kumar S. Ray, PhD, is a professor in the Electronics and Communication Science Unit at the Indian Statistical Institute, Kolkata, India. He has written a number of articles published in international journals and has presented at several professional meetings. His current research interests include artificial intelligence, computer vision, commonsense reasoning, soft computing, non-monotonic deductive database systems, and DNA computing.

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