Overview
- Shows how mathematics of uncertainty studies current challenges
- Presents the main aspects of mathematics of uncertainty which consists of tools and methods
- Includes challenges like COVID-19, climate change, human trafficking, corruption, global hunger
- Written by experts in the field
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 391)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the authors
Dr. Sunil Mathew is a Faculty Member in the Department of Mathematics, NIT Calicut, India. He has acquired his masters from St. Josephs College Devagiri, Calicut, and Ph. D. from National Institute of Technology Calicut in the area of Fuzzy Graph Theory. He has published more than 100 research papers and written five books. He is a member of several academic bodies and associations. He is editor and reviewer of several international journals. He has an experience of 20 years in teaching and research. His current research topics include fuzzy graph theory, bio-computational modeling, graph theory, fractal geometry, and chaos.
Dr. Binu M received her Ph. D in 2019 from the Department of Mathematics, National Institute of Technology Calicut, India, in the area of Connectivity in Fuzzy Graph Theory. She is a faculty member at Cooperative Academy of Professional Education (CAPE) Kerala, India. Her present research includes fuzzy logic, graph theory and network science. Dr. Binu has published several research papers and co-authored a book.
Bibliographic Information
Book Title: Applications of Mathematics of Uncertainty
Book Subtitle: Grand Challenges—Human Trafficking—Coronavirus—Biodiversity and Extinction
Authors: John N. Mordeson, Sunil Mathew, M. Binu
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-86996-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-86995-3Published: 17 November 2021
Softcover ISBN: 978-3-030-86998-4Published: 18 November 2022
eBook ISBN: 978-3-030-86996-0Published: 17 November 2021
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XV, 302
Number of Illustrations: 48 b/w illustrations
Topics: Computational Intelligence, Environmental Engineering/Biotechnology, Development Studies