Dr. Dhan Jeet Singh received his Ph.D. degree in Electrical Engineering from the Indian Institute of Technology Kanpur, India. Dr. Singh is currently working with Aircraft Research and Design Centre, Hindustan Aeronautics Limited (HAL), Bangalore, India. Dr. Singh's research interests are Artificial Intelligence, Machine Learning, Deep Learning, and Higher-Order Fuzzy Systems and Control. Dr. Singh is member of Aeronautical Society of India (AeSI), Institute of Engineers (IEI) India and Institute of Electrical and Electronics Engineers (IEEE). Dr. Singh has been serving as active reviewer of various reputed journals and conferences which include IEEE Transactions on Artificial Intelligence, IEEE Transactions on Neural Networks and Learning Systems, and many more.Dr. Teena Sharma is an Assistant Professor at the Mehta Family School of Data Science and Artificial Intelligence (MFSDS&AI), Indian Institute of Technology Guwahati, India. Dr. Sharma worked as a Postdoctoral Scholar at the University of Tennessee, Memphis, Tennessee, USA. Dr. Sharma received her Ph.D. degree in Electrical Engineering from the Indian Institute of Technology Kanpur, India. Dr. Sharma's research interests are Artificial Intelligence, Machine Learning, and Deep Learning Algorithms and their applications to Computer Vision: Object detection, Classification, Identification, Recognition, Image enhancement, Image matching; Equitable Precision Medicine: Transfer learning, Meta-learning, Few-shot learning; and Condition-based Monitoring: Fault diagnosis and remaining useful life prediction. Dr. Sharma is also serving as an Associate Editor for the IEEE Transactions on Artificial Intelligence.Dr. Nishchal K. Verma is a Professor of Electrical Engineering at the Indian Institute of Technology Kanpur, India, and a leading researcher in artificial intelligence and computational intelligence. His research focuses on AI theory and its real‑world deployment across interdisciplinary domains, including machine learning, deep and hybrid models, computer vision, prognostics and health management (PHM), cyber‑physical systems, bioinformatics, and complex nonlinear system modeling. Dr. Verma has published 275+ peer‑reviewed papers and four books, and has led 23 funded research projects supported by premier agencies and industries such as The Boeing Company (USA), DST, DRDO, SERB, CSIR, MHRD, and IIT Kanpur. His work has contributed to both fundamental advances and large‑scale industrial applications of AI. He serves on the editorial boards of leading journals.

• Chapter 1 Introduction.- Chapter 2 Advancements in Fuzzy Logic.- Chapter 3 Type 1 Fuzzy Model Based Control System.

Dr. Dhan Jeet Singh received his Ph.D. degree in Electrical Engineering from the Indian Institute of Technology Kanpur, India. Dr. Singh is currently working with Aircraft Research and Design Centre, Hindustan Aeronautics Limited (HAL), Bangalore, India. Dr. Singh's research interests are Artificial Intelligence, Machine Learning, Deep Learning, and Higher-Order Fuzzy Systems and Control. Dr. Singh is member of Aeronautical Society of India (AeSI), Institute of Engineers (IEI) India and Institute of Electrical and Electronics Engineers (IEEE). Dr. Singh has been serving as active reviewer of various reputed journals and conferences which include IEEE Transactions on Artificial Intelligence, IEEE Transactions on Neural Networks and Learning Systems, and many more.Dr. Teena Sharma is an Assistant Professor at the Mehta Family School of Data Science and Artificial Intelligence (MFSDS&AI), Indian Institute of Technology Guwahati, India. Dr. Sharma worked as a Postdoctoral Scholar at the University of Tennessee, Memphis, Tennessee, USA. Dr. Sharma received her Ph.D. degree in Electrical Engineering from the Indian Institute of Technology Kanpur, India. Dr. Sharma's research interests are Artificial Intelligence, Machine Learning, and Deep Learning Algorithms and their applications to Computer Vision: Object detection, Classification, Identification, Recognition, Image enhancement, Image matching; Equitable Precision Medicine: Transfer learning, Meta-learning, Few-shot learning; and Condition-based Monitoring: Fault diagnosis and remaining useful life prediction. Dr. Sharma is also serving as an Associate Editor for the IEEE Transactions on Artificial Intelligence.Dr. Nishchal K. Verma is a Professor of Electrical Engineering at the Indian Institute of Technology Kanpur, India, and a leading researcher in artificial intelligence and computational intelligence. His research focuses on AI theory and its real‑world deployment across interdisciplinary domains, including machine learning, deep and hybrid models, computer vision, prognostics and health management (PHM), cyber‑physical systems, bioinformatics, and complex nonlinear system modeling. Dr. Verma has published 275+ peer‑reviewed papers and four books, and has led 23 funded research projects supported by premier agencies and industries such as The Boeing Company (USA), DST, DRDO, SERB, CSIR, MHRD, and IIT Kanpur. His work has contributed to both fundamental advances and large‑scale industrial applications of AI. He serves on the editorial boards of leading journals.

• Chapter 1 Introduction.- Chapter 2 Advancements in Fuzzy Logic.- Chapter 3 Type 1 Fuzzy Model Based Control System.

Dr. Dhan Jeet Singh received his Ph.D. degree in Electrical Engineering from the Indian Institute of Technology Kanpur, India. Dr. Singh is currently working with Aircraft Research and Design Centre, Hindustan Aeronautics Limited (HAL), Bangalore, India. Dr. Singh's research interests are Artificial Intelligence, Machine Learning, Deep Learning, and Higher-Order Fuzzy Systems and Control. Dr. Singh is member of Aeronautical Society of India (AeSI), Institute of Engineers (IEI) India and Institute of Electrical and Electronics Engineers (IEEE). Dr. Singh has been serving as active reviewer of various reputed journals and conferences which include IEEE Transactions on Artificial Intelligence, IEEE Transactions on Neural Networks and Learning Systems, and many more.Dr. Teena Sharma is an Assistant Professor at the Mehta Family School of Data Science and Artificial Intelligence (MFSDS&AI), Indian Institute of Technology Guwahati, India. Dr. Sharma worked as a Postdoctoral Scholar at the University of Tennessee, Memphis, Tennessee, USA. Dr. Sharma received her Ph.D. degree in Electrical Engineering from the Indian Institute of Technology Kanpur, India. Dr. Sharma's research interests are Artificial Intelligence, Machine Learning, and Deep Learning Algorithms and their applications to Computer Vision: Object detection, Classification, Identification, Recognition, Image enhancement, Image matching; Equitable Precision Medicine: Transfer learning, Meta-learning, Few-shot learning; and Condition-based Monitoring: Fault diagnosis and remaining useful life prediction. Dr. Sharma is also serving as an Associate Editor for the IEEE Transactions on Artificial Intelligence.Dr. Nishchal K. Verma is a Professor of Electrical Engineering at the Indian Institute of Technology Kanpur, India, and a leading researcher in artificial intelligence and computational intelligence. His research focuses on AI theory and its real‑world deployment across interdisciplinary domains, including machine learning, deep and hybrid models, computer vision, prognostics and health management (PHM), cyber‑physical systems, bioinformatics, and complex nonlinear system modeling. Dr. Verma has published 275+ peer‑reviewed papers and four books, and has led 23 funded research projects supported by premier agencies and industries such as The Boeing Company (USA), DST, DRDO, SERB, CSIR, MHRD, and IIT Kanpur. His work has contributed to both fundamental advances and large‑scale industrial applications of AI. He serves on the editorial boards of leading journals.

• Chapter 1 Introduction.- Chapter 2 Advancements in Fuzzy Logic.- Chapter 3 Type 1 Fuzzy Model Based Control System.