1st Edition

Advances in Soft Computing Applications

    304 Pages 45 Color & 40 B/W Illustrations
    by River Publishers

    304 Pages 45 Color & 40 B/W Illustrations
    by River Publishers

    The proclivity of today’s technology to think like humans may be seen in new developing disciplines such as neural computing, fuzzy logic, evolutionary computation, machine learning, and probabilistic reasoning. These strategies are grouped together into one main technique known as "soft computing." This book discusses the most recent soft computing and fuzzy logic-based applications and innovations in industrial advancements, supply chain and logistics, system optimization, decision-making, artificial intelligence, smart systems, and other rapidly evolving technologies. In today’s competitive world, the book provides soft computing solutions to help companies overcome the obstacles posed by sophisticated decision-making systems.

    1. Applying Fuzzy Logic to Assessment of Latent Economic Features

    Oleksandr Yankovyi, Oksana Tsimoshynska, Viktor Koval, Yigit Kazancoglu, Viacheslav Kotlubai, and Liliya Filipishyna

    2. A Fuzzy Multi-criteria Homogeneous Group Decision Making Approach for Performance Evaluation and Selection of Suppliers in Supply Chain Management: A Comparative study

    Balaram Dey, Bipradas Bairagi, and Goutam Bose

    3. The use of computational intelligence in process management

    C. Dumitrescu

    4. Evaluating the effectiveness of enterprises digital transformation by fuzzy logic

    Oleg Kaminsky, Viktor Koval, Julia Yereshko, Nataliia Vdovenko, Mykhailo Bocharov, and Yigit Kazancoglu

    5. A New Decision Making Framework for Performance Evaluation of Industrial Robots Considering Tangible and Intangible Factors

    Bipradas Bairagi, Balaram Dey, and Goutam Bose

    6. Determination of Launch Time of a Successive Generational Product under a Fuzzy Environment

    Mohini Agarwal, Adarsh Anand, Chanchal, and Hitesh Kumar

    7. Key Exchange in the Extended Playfair Cipher using the Diffie–Hellman Algorithm

    Raksha Verma, Riya Verma, and Adarsh Anand

    8. Assessment of Criteria for Renewable Energy Systems using MCDM

    Shristi Kharola, Aayushi Chachra, Mangey Ram, Akshay Kumar, and Nupur Goyal

    9. Uncertainty in the Healthcare Sector using Fuzzy Logic

    V. Mittal, P. Malik, K. C. Purohit, and M. Ram

    10. Selection of a Face Mask During COVID-19 Using a Multi-attribute Decision Making Approach in Entropy – Distance Measures For Pythagorean Fuzzy Sets

    Mansi Bhatia, H. D. Arora, and Anjali Naithani

    11. Prioritizing the Barriers of Manufacturing During Covid-19 Using the MCDM Approach Under a Fuzzy Environment

    Shwetank Avikal, Rushali Pant, K. C. Nithin Kumar, Vimal Kumar, and Mangey Ram

    12. Genetic algorithms for Selection of Critical Cytological Features in Cancer Datasets

    Shona Afonso and Anusha Pai

    13. Role of AI in Various Industrial Managerial Disciplines

    Arpit Malik, Sunitha Ratnakaram, Venkamaraju Chakravaram, and Hari Krishna Bhagavatham

    14. Evaluating Fuzzy System Reliability Using a Time-dependent Hexagonal Fuzzy Number

    Pawan Kumar and Deepak Kumar

    Biography

    Shristi Kharola is currently pursuing a Ph.D. degree in Mathematics from Graphic Era University, Dehradun, India. Prior to arriving at Graphic Era University, Shristi completed 3-year graduate honors degree in Mathematics from Graphic Era Hill University, Dehradun, India and a post-graduate degree in Mathematics from H.N.B. Garhwal Central University, India. Her research interests include the areas of reliability engineering, fuzzy logic, decision making, applied mathematics and circular economy, ranging from theory to design to implementation. In the year 2020–2021, Shristi collaborated actively with Turkey and UK on an International Project jointly with Government of India. Shristi has published some good articles with Elsevier, Springer etc., and has presented her publications at seminars, workshops and conferences globally.

    Professor Mangey Ram received a Ph.D. degree major in Mathematics and minor in Computer Science from G.B. Pant University of Agriculture and Technology, Pantnagar, India in 2008. He has been a Faculty Member for around thirteen years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently the Research Professor at Graphic Era (Deemed to be University), Dehradun, India and Visiting Professor at Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia. Before joining Graphic Era, he was a Deputy Manager (Probationary Officer) with a Syndicate Bank for a short period. He is Editor-in-Chief of the International Journal of Mathematical, Engineering and Management Sciences, Journal of Reliability and Statistical Studies, Journal of Graphic Era University, Series Editor of six Book Series with Elsevier, CRC Press-A Taylor and Frances Group, Walter De Gruyter Publisher Germany, River Publisher and the Guest Editor and Associate Editor with various journals. He has published 300 plus publications (journal articles/books/book chapters/conference articles) in IEEE, Taylor & Francis, Springer Nature, Elsevier, Emerald, World Scientific and many other national and international journals and conferences. Also, he has published more than 60 books (authored/edited) with international publishers like Elsevier, Springer Nature, CRC Press, Walter De Gruyter and River Publishing. His fields of research are reliability theory and applied mathematics. Dr. Ram is a Senior Member of the IEEE, Senior Life Member of Operational Research Society of India, Society for Reliability Engineering, Quality and Operations Management in India, and Indian Society of Industrial and Applied Mathematics, He has been a member of the organizing committee of a number of international and national conferences, seminars, and workshops. He was conferred with the "Young Scientist Award" by the Uttarakhand State Council for Science and Technology, Dehradun in 2009. He was awarded the "Best Faculty Award" in 2011, the "Research Excellence Award" in 2015,and the "Outstanding Researcher Award" in 2018 for his significant contribution in academics and research at Graphic Era Deemed to be University, Dehradun, India. Recently, he received the "Excellence in Research of the Year 2021 Award" from the Honourable Chief Minister of Uttarakhand State, India.

    Dr. Sachin Kumar Mangla is working in the fields of green and sustainable supply chain and operations, Industry 4.0, circular economy, decision making and simulation. He is committed to do and promote high quality research. He has published/presented several papers in reputed international/national journals (Journal of Business Research, International Journal of Production Economics, International Journal of Production Research, Computers and Operations Research, Production Planning and Control, Business Strategy and the Environment, Annals of Operations Research, Transportation Research Part-D, Transportation Research Part-E, Renewable and Sustainable Energy Reviews, Resource Conservation and Recycling, Information System Frontier, Journal of Cleaner Production, Management Decision, Industrial Data and Management System) and conferences (POMS, SOMS, IIIE, CILT – LRN, MCDM, GLOGIFT). He has an h-index 55, i10-index 96, Google Scholar Citations of more than 8000. He is involved in several editorial positions and editing two special issues as a guest editor in top tier journals. Currently, he is working as an Associate Editor at Journal of Cleaner Production, International Journal of Logistics Management, Sustainable Production and Consumption, and IMA Journal of Management Mathematics journals. He is also involved in several research projects on various issues and applications of circular economy, Industry 4.0 and sustainability. Among them, he also contributed to the knowledge-based decision model in "Enhancing and implementing knowledge-based ICT solutions within high risk and uncertain conditions for agriculture production systems (RUC-APS)", European Commission RISE scheme, €1.3M. Recently, he has also received a grant as a PI from British Council – Newton Fund Research Environment Links Turkey/UK – Circular and Industry 4.0 driven solutions for reducing food waste in supply chains. He is also working in several projects on Food Waste and Circular Economy and Industry 4.0 issues, sponsored by Govt. of India (ICSSR) and state Govt. agencies (USERC).

    Prof. Dr. Yigit Kazancoglu received his B.Sc. degree from Eastern Mediterranean University, Dept. of Industrial Engineering. He has graduated from Coventry University, MBA and Izmir University of Economics MBA programs. Kazancoglu received his Ph.D. at Ege University (Production & Operations Management). He is full Professor Dr. at Yasar University, Logistics Management Department and head of the department. His research areas are operations management and supply chain management. The subjects he is working on are sustainability, circular economy, green supply chain management, and digitalization. He has published more than 100 articles in SCI, SCI-E, SSCI, ESCI and SCOPUS indexed journals. Prof. Dr. Kazancoglu has published papers on related topics that were published in many international journals. He is associate editor International Journal of Mathematical, Engineering and Management Sciences, has been special issue guest editor for multiple journals. Prof. Dr. Kazancoglu has completed 8 projects funded by EU under Erasmus+, Transversal, EU, Grundtvig as well as a Newton Fund Research Environment Links Project and a USERC–Indian Govt. Funded Research Project.