The fuzzy logic theory is the branch of mathematics dealing with uncertainty in measurement of any quantity or any estimation. The concept of fuzzy logic is based on the use of membership functions. The construction of such functions depends upon the range of values based of some functions or operations. The defined rules set can give rise to the application procedure and also controls of membership function. The fuzzy application includes control system engineering, image processing, power engineering, industrial automation, robotics, consumer electronics and artificial intelligence.
Some eminent technology domains like artificial intelligence, machine learning expert systems, has experienced many different and versatile application with the solutions to solve many complex problems. The inference rules of the fuzzy logic have been effectively used to different industries namely the manufacturing for solving lot of problem. Some of the noteworthy companies working on principles of machine-learning concepts with fuzzy principles are found as Anti-lock brakes by Nissan, Auto engine by Honda, Elevator control by Mitsubishi Electric, Palmtop computer by Hitachi, Dishwasher by Matsushita etc.
The prime objective of the proposed book will be to include:
The simplistic structure of fuzzy logic enables us to apply the very concept to the fields other than AI and machine learning are evolutionary computing and many other interdisciplinary fields. The computer vision and machine Learning and evolutionary approach has been well be interpreted by the fuzzy techniques and rule sets. The decision rules and the control thereupon can be done by means of the fuzzy set. There are number of application areas which include the fuzzy system and its application in different manner.
The field like computer vision, image processing and other Meta heuristic approaches with evolutionary computing has become some common face research application. The fine tuning of the classifier model along with the optimization of model can be done by the principles of fuzzy theories. Some of the well-known examples of application of the fuzzy theory concepts are the scopes in management fields, stock market analysis, information retrieval, linguistics and behavioral science as well with good yield. The data mining and stock market data prediction are two important areas which find the major fuzzy application. The fuzzy machine learning model in the ensemble pattern serves the purpose of all sorts of classification and prediction jobs with high level of accuracy. The application of fuzzy theories has become much effective in maintaining the high-level accuracy. The fuzzy concept in the ensemble pattern serves for both the classification and prediction jobs. The continuous and consistent evolution in the field of fuzzy domain gives rise to all sorts of classification and prediction. The two variations like fuzzy type 2 and intuitionistic fuzzy logic has shown the promising accuracy with versatile approach of application. The shortcomings of the simple fuzzy model can easily be overcome by such variants of fuzzy logic .The book has been developed keeping in view about readers of different categories starting from the students to the professionals and researchers as well . The development of the book and its content layout will be done so meticulously proving the enough insights of the subjects to the readers so that the readers can easily pursue their research concept from the book. Overall the book serve as the purpose of repository of good amount of information and their technical presentations.
1. An Introduction to Fuzzy Logic in Real Time Application Paradigm.-
2.
Application of Bayesian Algorithm for Impacting Social Media Marketing on
Smart Electric Motorcycle Purchase Intention.-
3. Optimizing Traffic Signal
Control using Fuzzy Logic: A Solution for Urban Congestion Management.-
4.
Optimizing Energy Efficiency in Smart Grids Using Deep Fuzzy Nets: A
Comprehensive Approach to Power Regulation and Control.-
5. Making Sense of
the Messy: How Fuzzy Logic Can Help Us Solve Real-Life Problems.-
6. FUZZY
BASED MACHINE LEARNING MODEL FOR SMART INFORMATION ACCUMULATION DEVELOPMENT.-
7. Synthesis of Fuzzy Sets and Their Practical Applications.-
8. Optimizing
Inventory Levels in Retail: Fuzzy Logic-Based Decision Support Systems for
Adaptive Inventory Management.-
9. Neutrosophic Numbers in Identifying Best
Teacher Awardee using SWOT Analysis.-
10. Fuzzy Logics in Multi-Criteria
Decision Making Problems.-
11. A Case Study on Pharmaceutical supplier
Selection by using the Integrated Fuzzy AHP MABAC Method.-
12. A Novel
Approach for Multi-Cluster-Based River Flood Early Warning System Using
Fuzzy-Logic-Based Learning and Rule Optimization.-
13. Evaluating
Gamification Tools for Operating Management in Industrial Engineering: A
Dual-Model Approach Using Fuzzy AHP and MACBETH.-
14. Exploring the Efficacy
of Machine Learning Algorithms across Diverse Feature Selection Strategies in
Rice Classification Tasks.-
15. Industrial Intelligence: A Fuzzy Logic
Approach.-
16. Sensors and Data driven approaches in Precision Agriculture: A
Comprehensive Review.-
17. Fuzzy Logic Control for Adaptive Fan Speed
Regulation Based on Temperature Variations in Cold, Warm, and Hot Seasons.-
18. Improving Diabetic Patient Care through Fuzzy Logic: A Comprehensive
Approach.-
19. Causal Analysis of Heart Failure Mortality among Females: A
Fuzzy Logic Approach.-
20. Design and Realization of Interval Type-2 Fuzzy
Logic Controller for a TITO Aero-Dynamic System.-
21. Modeling a Fuzzy
Transportation Problem for Securing Mission Critical Servers using Attack
Graph.-
22. The ranking function-based defuzzication technique and
application of type-2 fuzzy logic to study a triple goal-based
4D-transportation problem with carbon emission effect.-
23. Exploring Machine
Learning Techniques for Enhanced Chronic Kidney Disease Diagnosis: A
Comprehensive Survey.-
24. Enhancing Fuzzy Multi Criteria Decision Making
Technique in Engineering Design Problem.-
25. The Assessment of Customer
Satisfaction of a Product in a Manufacturing System using Adaptive Neuro
Fuzzy Interference System.-
26. Application of Neutrosophic Pythagorean Supra
Topological Spaces in Attribute Decision-Making.-
27. Application of Fuzzy
Logic to Model and Control Rotavirus Spread Among Vaccinated and Unvaccinated
Children.
Subrata Jana, double M.Sc. (Applied Mathematics, Applied Statistics and Analytics), M. Phil is an assistant professor of mathematics in the department of basic science and humanities at Seacom Engineering College, Howrah, West Bengal, India. Also he is working as a guest faculty of West Bengal State University, Barasat, West Bengal at the Department of Management and Marketing. Currently he is pursuing Ph.D. at Jadavpur University, Department of Mathematics. He has more than 10 years of Academic experience. His area of interest is Linear Algebra, Probability & Statistics, Operations Research, Mathematical Finance, Fuzzy Multi-Criteria Decision Making etc. He also acted as a resource person in various workshops and research programs conducted by Institutes. He has published several papers in national & international journals of repute. Also published a few papers in ABDC, Scopus, SCI, Web of Science and UGC Care listed journals and in edited books published by foreign publishers of repute like CRC Press, Routledge, Taylor & Francis etc. He is a life member of Calcutta Mathematical Society; Operational Research Society of India; Indian Statistical Institute, Kolkata; The Indian Science Congress Association.
Dr. Biswadip Basu Mallik is currently an Associate Professor of Mathematics in the Department of Basic Science & Humanities at the Institute of Engineering & Management, University of Engineering and Management, Kolkata, India. With over 22 years of experience in teaching and research, he has published numerous research papers and book chapters in scientific journals from esteemed international publishers such as CRC Press, Apple, Wiley, IGI Global, Springer, Nova Science, IEEE, and more. Dr. Basu Mallik has authored five undergraduate-level books on Engineering Mathematics, Quantitative Methods, and Computational Intelligence. He has also published five Indian patents and edited eighteen books. His research interests include Computational Fluid Dynamics, Mathematical Modeling, Optimization, and Machine Learning. He serves as the Series Editor for the book series titled Mathematics and Computer Science from Wiley-Scrivener, USA, and is the Managing Editor of the Journal of Mathematical Sciences & Computational Mathematics (JMSCM), USA. Additionally, Dr. Basu Mallik is an Editorial Board member and reviewer for several scientific journals. He holds senior life membership in the Operational Research Society of India (ORSI) and life membership in the Calcutta Mathematical Society (CMS), Indian Statistical Institute (ISI), Indian Science Congress Association (ISCA), and the International Association of Engineers (IAENG).
Dr. Anirban Sarkar is currently associated with West Bengal State University (WBSU) as Professor & Head of the Department of Management & Marketing. He is also the Director of Centre for Management Studies. He has more than 20 years of Academic experience. His area of interest is Marketing, Finance, and Statistics in Social Sciences particularly Market Research, Consumer Behaviour, Behavioural Marketing, Social Marketing, Digital Marketing, International Finance, and Behavioural Finance. He is now currently focusing on Data Analytics particularly Multivariate Analysis in Social Sciences. Completed minor and major research projects sponsored by UGC and ICSSR. Currently, submitted a Covid Special Project Report sponsored by ICSSR as Project Director. He chaired, co- chaired, and presented papers at many national and international conferences. He also acted as a resource person in various workshops and research programs conducted by Universities and Institutes of national importance across different states in India. Also published a few papers in ABDC, Scopus, SCI, Web of Science and UGC Care listed journals and in edited books published by foreign publishersofreputelikeRoutledge,Emerald,PalgraveMcMillan,Bloomsbury,etc. in the areas of general management, marketing, economics, and finance. Served as State Public Information Officer (SPIO) of WBSU from 2012 to 2016. At present also serving as Convener, Sports Board in WBSU since2016. He is a Life member of the Indian Economic Association (IEA), Bengal Economic Association (BEA), Indian Accounting Association (IAA), and Indian Commerce Association (ICA). Presently holding the position of Executive Council member and also Joint Secretary of the Indian Economic Association.
Dr. Chiranjibe Jana currently a adjunct faculty of Saveetha School of Engineering, Saveeth Institute of Medical and Technical Sciences (SIMATS), Chennai 602105, Tamil Nadu, India. He received his Bachelor of Science degree with honours in Mathematics in 2007 from Midnapore College, Paschim Medinipur, West Bengal, India and Master of Science degree in Mathematics in 2009 from Vidyasagar University, West Bengal, India. He received Ph.D degree in pure mathematics with specialization of fuzzy BCK/BCI- algebra and related algebras in 2018, Department of Applied Mathematics, Vidyasagar University, West Bengal, India. He has qualified NET in 2010. His current research interest are in the areas of multi-criteria decision-making, aggregation operator, decision- support systems, renewable energy, fuzzy optimization, artificial intelligence, fuzzy algebra and soft algebraic structures. He has published 84 papers, among them 50 are published in the international reputed SCI journals such as Applied Soft Computing, Engineering Applications of Artificial Intelligence, Scientia Iranica, International Journal of Intelligent Systems, Journal of Intelligent and Fuzzy Systems, Soft Computing, Journal of Ambinent Intelligence and Humanized Computing, Iranian Journal of Fuzzy Systems, Symmetry, Mathematics, and Knowledge-based Systems, Information Sciences, etc. He has published two edited books, one published in IGI Global, USA, 2019 and another published in Springer, 2023. He published one author book in Elsevier in November, 2023. He has serves as a reviewer in a journals including Soft computing, Artificial Intelligence Review, Journal of Ambinent Intelligence and Humanized Computing, Fuzzy Information and Engineering, Filomat, IEEE Access, International Journal of Intelligent Systems, Complexity, AIMS-Mathematics, Journal of Intelligent & Fuzzy Systems, The journal of Supper computing, Patter Recognition Letters, Engineering Applications of Artificial Inetlligence, Expert Systems with Applications, Applied Soft computing, and Information Sciences, etc. Now, he is an academic editor of Mathematical Problems in Engineering, SCIE, IF-1.305, and journal of mathematics, SCIE,IF-1.4, and He is a advisory board member of Heliyon journal, Elsevier, SCIE, IF-4. According to Scopus and Stanford University, he is among the World top 2% scientists as of 2022, 2023 and 2024.
