Fuzzy Optimization Techniques in the Areas of Science and Management

ISBN 10: 1032342862 / ISBN 13: 9781032342863

Verlag: Taylor & Francis Ltd, 2022

Beschreibung

New copy - Usually dispatched within 4 working days. 548.

Bestandsnummer des Verkäufers B9781032342863

Bibliografische Details

• Titel: Fuzzy Optimization Techniques in the Areas of Science and Management
• Verlag: Taylor & Francis Ltd
• Erscheinungsjahr: 2022
• Sprache: Englisch
• ISBN-10: 1032342862
• ISBN-13: 9781032342863
• Einband: Hardback
• Zustand: New

Über diesen Titel

Inhaltsangabe

This book helps to enhance the application of fuzzy logic optimization in the areas of science and engineering. It includes implementation and modeling paradigms such as path planning and routing design for different wireless networks, organization behavior strategies modeling, and so forth.

Über die Autorin bzw. den Autor

Santosh Kumar Das received his Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India, in 2018 and completed his M. Tech. degree in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology (erstwhile WBUT), West Bengal, India, in 2013. He has about to three years teaching experience as Assistant Professor at School of Computer Science and Engineering, National Institute of Science and Technology (Autonomous), Institute Park, Pallur Hills, Berhampur, Odisha, India. He is currently working as Assistant Professor at Department of Computer Science and Engineering, Sarala Birla University, Birla Knowledge City, P.O.-Mahilong, Purulia Road, Ranchi, India. He has more than eight years teaching experience. He has authored/edited of five books with Springer in series as Lecture Notes in Networks and Systems, Tracts in Nature-Inspired Computing and Studies in Computational Intelligence. He has contributed more than 35 research papers. His research interests mainly focus on Ad-hoc & Sensor Network, Artificial Intelligence, Soft Computing, and Mathematical modelling. His h-index is 16 with more than 700 citations.
Google Scholar Profile:
https://scholar.google.com/citations?user=AkQx5KoAAAAJ&hl=en

Massimiliano Giacalone received his Ph.D. degree in “Computational Statistics and Applications” from the University of Naples “Federico II”, Department of Mathematics and Statistics. He received his graduate in “Statistics and Economics Sciences”, magna cum laude (Faculty of Economics-University of Palermo). He is currently “Researcher in Statistics” and teaching staff member of the Department of Economics and Statistics, University of Naples “Federico II”. He has contributed more than 100 research papers. His research area encompasses the following subjects: Multidimensional Data Analysis - Big Data for Social Statistics - Norm-p linear and nonlinear regression - Permutation Tests-Control Charts and Economic Statistics -Applications of Statistics in Medicine, in Justice and in Finance.
Google Scholar Profile:
https://scholar.google.com/citations?hl=en&user=O912O0MAAAAJ&view_op=list_works&sortby=pubdate