Soft Computing

Engineering Applications
1. Auflage 2026
ISBN: 978-1-032-73851-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 370 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Edge AI in Future Computing

This book examines the latest developments in the area of soft computing with engineering applications. It explores topics such as fuzzy sets, intuitionistic fuzzy sets, unmanned aerial vehicles, soft sets, neutrosophic sets, fractional calculus, big data analytics, and the mathematical foundations of convolutional neural network (CNNs). Soft Computing: Engineering Applications offers readers a comprehensive and in-depth understanding of various cutting-edge technologies that are transforming industries worldwide.

The book explores soft computing techniques in a very systematic manner. It elucidates the concepts, theories, and applications of fuzzy sets, enabling readers to grasp the fundamentals and explore their applications in various fields. It provides new insight into unmanned aerial vehicle applications to fuzzy soft set based decision making. It then discusses new fixed point results in orthogonal neutrosophic generalized metric spaces and explores statistical convergence of triple sequences in a credibility space. The authors then provide readers with a solid grasp of the mathematical underpinnings of CNNs, enabling them to design, train, and optimize neural networks for image recognition, object detection, and other computer vision tasks. The authors also present new studies in fractional calculus and explores advanced visualization algorithms and techniques for big data analytics.

Soft Computing will be useful for beginners and advanced researchers in engineering, applied sciences and healthcare professionals working in soft computing applications.

Zielgruppe

Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Debnath, Pradip

Tripathy, Binod Chandra

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik

Inhaltsverzeichnis

Chapter 1- Different types of convergence in fuzzy normed spaces

Chapter 2- Exploring statistical convergence of triple sequences in a credibility space

Chapter 3- Some results on triple sequence space in intuitionistic fuzzy anti-normed linear space

Chapter 4- Unmanned aerial vehicle application to fuzzy soft set based decision-making

Chapter 5- Fixed-point results on strong Jleli-Samet-F-metric spaces and applications

Chapter 6- Fractional-integral equations

Chapter 7- Measures of Noncompactness and solvability of fractional integral equations

Chapter 8- New fixed point results in orthogonal neutrosophic triple controlled rectangular b-metric spaces

Chapter 9- Intuitionistic fuzzy stability results of mixed type functional equation using classical approaches

Chapter 10- Enhancing paddy crop disease analysis with an intuitionistic fuzzy clustering algorithm

Chapter 11- Soft-rough expert set

Chapter 12- Gamma modules and gamma filters

Chapter 13- Soft computing techniques for enhanced E-commerce recommender systems

Chapter 14- Mathematical foundations of CNN in Soft Computing

Chapter 15- Fuzzy logic in predicting diseases: A paradigm shift in medical science

Über Autor(innen)

Dr. Pradip Debnath is an Associate Professor in the Department of Mathematical Sciences at Tezpur University, India. He received his Ph.D. in Mathematics from the National Institute of Technology Silchar, India. His research interests include fixed point theory, functional analysis, soft computing and mathematical statistics.

Prof. (Dr.) Binod Chandra Tripathy received his M.Sc. and Ph.D. degrees from the Berhampur University, Odisha, India. He is the Director, IQAC, Tripura University since March 2020. His research interests are Fuzzy set theory, Sequences of fuzzy numbers, Summability theory, Sequence space and Series, Sequences of complex uncertain variables, Spectral theory, Multiset topological space, Neutrosophic topological space, Decision making etc.