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Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences

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AFSA
biomedical data analysis
Category=UMB
Classical Transportation Problem
clustering algorithms
Compromise Optimal Solution
Double Sequences
Ehrlich Ascites Tumor
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evolutionary computation
Fuzzy Cognitive Maps
Fuzzy Logic
fuzzy logic applications
Fuzzy Set
Hard Computing
INDIAN EDITION
Interval Valued Fuzzy Set
Intuitionistic Fuzzy
Intuitionistic Fuzzy Set
intuitionistic fuzzy systems
Membership Functions
Mri Modality
multi-objective optimization in engineering
Multi-objective Transportation Problems
neural network modeling
Ous Context
SC
SC Technique
Slowly Oscillating
Solid Transportation Problem
Solve MCDM Problem
Tauberian Theorems
Unlabeled Datasets
VE's Partner
VE’s Partner
VIKOR Method

Product details

  • ISBN 9780367750688
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 16 Jul 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.
About

Dr. Pradip Debnath is an assistant professor (in Mathematics) in the Department of Applied Science and Humanities of Assam University, Silchar.

S. A. Mohiuddine is a full professor of Mathematics at King Abdulaziz University, Jeddah, Saudi Arabia.