Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences Edge AI in Future Computing Series Editors: Arun Kumar Sangaiah SCOPE, VIT University, Tamil Nadu Mamta Mittal G. B. Pant Government Engineering College, Okhla, New Delhi Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences Pradip Debnath and S. A. Mohiuddine For more information about this series, please visit: https://www.routledge.com/ Edge-AI-in-Future-Computing/book-series/EAIFC Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences Edited by Pradip Debnath Department of Applied Science and Humanities Assam University Silchar, India S. A. Mohiuddine Department of General Required Courses, Mathematics Faculty of Applied Studies King Abdulaziz University Jeddah, Saudi Arabia Operator Theory and Applications Research Group Department of Mathematics, Faculty of Science, King Abdulaziz U niversity Jeddah, Saudi Arabia MATLAB® is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant the accuracy of the text or exercises in this book. This book’s use or discussion of MATLAB® software or related products does not constitute endorsement or sponsorship by The MathWorks of a par- ticular pedagogical approach or particular use of the MATLAB® software. First edition published 2021 by CRC Press 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742 and by CRC Press 2 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN © 2021 selection and editorial matter, Pradip Debnath and S. A. Mohiuddine; individual chapters, the contributors CRC Press is an imprint of Taylor & Francis Group, LLC The right of Pradip Debnath and S. A. Mohiuddine to be identified as the author[/s] of the editorial mate- rial, and of the authors for their individual chapters, has been asserted in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material r eproduced in this publica- tion and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged, please write and let us know so we may rectify in any future reprint. 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Title: Soft computing techniques in engineering, health, mathematical and social sciences / edited by Pradip Debnath and S.A. Mohiuddine. Description: Boca Raton, FL : CRC Press, 2021. | Series: Edge AI in future computing | Includes bibliographical references and index. | Summary: “The book contains theory and applications of soft computing in engineering, health, 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”— Provided by publisher. Identifiers: LCCN 2021004280 (print) | LCCN 2021004281 (ebook) | ISBN 9780367750688 (hardback) | ISBN 9780367752545 (paperback) | ISBN 9781003161707 (ebook) Subjects: LCSH: Soft computing. Classification: LCC QA76.9.S63 S6385 2021 (print) | LCC QA76.9.S63 (ebook) | DDC 006.3—dc23 LC record available at https://lccn.loc.gov/2021004280 LC ebook record available at https://lccn.loc.gov/2021004281 ISBN: 978-0-367-75068-8 (hbk) ISBN: 978-0-367-75254-5 (pbk) ISBN: 978-1-003-16170-7 (ebk) Typeset in Times by codeMantra Contents Preface......................................................................................................................vii Editors .......................................................................................................................ix Contributors ..............................................................................................................xi Chapter 1 Revisiting the Machine Learning Algorithms and Applications in Engineering and Computer Science .................................................1 Satyabrata Nath, Purnendu Das, and Pradip Debnath Chapter 2 Detection and Prevention of Cancer through Artificial Intelligence and Machine Learning ..................................................21 Kaushik Dehingia, Vishnu Narayan Mishra, and Bhagya Jyoti Nath Chapter 3 A Review on Soft Computing Techniques in Nanomagnetism and Its Impact on Biomedical Applications ............33 Korobi Konwar and Pritam Deb Chapter 4 A Mediative Fuzzy Logic-Based Approach to the Goal Programming Problem: In the Context of Multi-Objective Solid Transportation Problem ............................................................47 M. K. Sharma, Nitesh Dhiman, Kamini, and Vishnu Narayan Mishra Chapter 5 H-U-R Stability Results of Mixed-Type Additive- Quadratic Functional Equation in Fuzzy β-Normed Spaces by Two Different Approaches ................................................63 K. Tamilvanan, K. Loganathan, and N. Revathi Chapter 6 Tauberian Theorems for Intuitionistic Fuzzy Normed Spaces ..........93 Vakeel A. Khan and Mobeen Ahmad Chapter 7 Picture Fuzzy Soft Matrices .............................................................111 S. Vijayabalaji Chapter 8 Cubic n-Inner Product Space ...........................................................121 S. Vijayabalaji, S. Sivaramakrishnan, and P. Balaji v vi Contents Chapter 9 Convergence Methods for Double Sequences and Applications in Neutrosophic Normed Spaces .................................137 Omer Kişi Chapter 10 Intuitionistic Fuzzy Generalized Lucas Ideal Convergent Sequence Spaces Associated with Orlicz Function..........................155 Kuldip Raj and Kavita Saini Chapter 11 Soft Computing Techniques in Social Sciences: The Recent Developments ................................................................181 Anuradha Bhattacharjee Chapter 12 An Approach Based on Fuzzy Logic for Analysis on Product Development in Open Innovation Context .........................191 Ricardo Santos, Antonio Abreu, J. M. F. Calado, Jose Miguel Soares, Ana Dias, and Fernanda Mendes Index ......................................................................................................................215 Preface This book is meant for graduate students, faculties and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum pre-requisites of undergraduate studies in computation and mathematics. Beginners as well as advanced researchers will find several useful tools and tech- niques to develop their skills and expertise. The most attractive aspect of the book is that any learner, teacher or researcher from science, e ngineering or social sciences using soft computing techniques will find this book beneficial. The book contains sufficient theory and applications of soft computing in all branches as suggested by its title. The book presents a survey of the existing knowledge and also the current state-of-the-art development through original new contributions from the research- ers. This book may be used as a reference book for a broad range of readers world- wide interested in soft computing. Soft computing consists of a diverse collection of topics. The main sources of information of these topics are scattered among a variety of journals and proceedings. As such, consulting all the information by an amateur learner is seldom possible. Our book is an attempt in this direction of providing a simple interface for an amateur as well as advanced learners in soft computing. MATLAB® is a registered trademark of The MathWorks, Inc. For product information, please contact: The MathWorks, Inc. 3 Apple Hill Drive Natick, MA 01760-2098 USA Tel: 508-647-7000 Fax: 508-647-7001 E-mail: [email protected] Web: www.mathworks.com vii Editors Pradip Debnath is an assistant professor (in mathematics) in the Department of Applied Science and Humanities of Assam University, Silchar (a central university), India. His research interests include Fuzzy Logic, Fuzzy Graphs, Fuzzy Decision Making, Soft Computing and Fixed-Point Theory. He has published over 50 papers in various journals of international repute. He is a reviewer for more than 20 inter- national journals including Elsevier, Springer, IOS Press, Taylor and Francis and Wiley. He has successfully guided Ph.D. students in the areas of Fuzzy Logic, Soft Computing and Fixed-Point Theory. At present, he is working on a major Basic Science Research Project funded by UGC, Government of India. He received a gold medal in his postgraduation from Assam University, Silchar and qualified several national level examinations in mathematics. S. A. Mohiuddine is a full professor of mathematics at King Abdulaziz University, Jeddah, Saudi Arabia. As an active researcher, he has coauthored two books, Convergence Methods for Double Sequences and Applications (Springer, 2014) and Advances in Summability and Approximation Theory (Springer, 2018), and published over 140 research papers to various leading journals. He is the referee of many scientific journals and member of the editorial board of various scientific journals, international scientific bodies and organizing committees. He has visited several international universities including Imperial College London, UK. He was a guest editor of a number of special issues for Abstract and Applied Analysis, Journal of Function Spaces and The Scientific World Journal. His research interests are in the fields of sequence spaces, statistical convergence, matrix transformation, measures of noncompactness and approximation theory. His name was in the list of World’s Top 2% Scientists (2020) prepared by Stanford University, California. ix