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Soft Computing

Engineering Applications
BuchGebunden
356 Seiten
Englisch
Taylor & Francis Ltderscheint am30.09.2024
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).mehr
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Produkt

KlappentextThis 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).
Details
ISBN/GTIN978-1-032-73852-9
ProduktartBuch
EinbandartGebunden
Erscheinungsjahr2024
Erscheinungsdatum30.09.2024
Seiten356 Seiten
SpracheEnglisch
MasseBreite 156 mm, Höhe 234 mm
Gewicht840 g
Artikel-Nr.61444287

Inhalt/Kritik

Inhaltsverzeichnis
Chapter 1- Different types of convergence in fuzzy normed spacesChapter 2- Exploring statistical convergence of triple sequences in a credibility spaceChapter 3- Some results on triple sequence space in intuitionistic fuzzy anti-normed linear spaceChapter 4- Unmanned aerial vehicle application to fuzzy soft set based decision-makingChapter 5- Fixed-point results on strong Jleli-Samet-F-metric spaces and applicationsChapter 6- Fractional-integral equationsChapter 7- Measures of Noncompactness and solvability of fractional integral equationsChapter 8- New fixed point results in orthogonal neutrosophic triple controlled rectangular b-metric spacesChapter 9- Intuitionistic fuzzy stability results of mixed type functional equation using classical approachesChapter 10- Enhancing paddy crop disease analysis with an intuitionistic fuzzy clustering algorithmChapter 11- Soft-rough expert setChapter 12- Gamma modules and gamma filtersChapter 13- Soft computing techniques for enhanced E-commerce recommender systemsChapter 14- Mathematical foundations of CNN in Soft ComputingChapter 15- Fuzzy logic in predicting diseases: A paradigm shift in medical sciencemehr

Autor

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.
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