This book explores the applications of fuzzy intelligence and hybrid computational techniques in addressing the complex challenges of climate change, environmental sustainability, and climate-responsive decision-making. It brings together research on fuzzy logic, neuro-fuzzy systems, fuzzy multi-objective optimization, machine learning, time-series modelling, and geospatial analytics to support climate prediction, environmental monitoring, and risk assessment. The chapters examine diverse applications, including climate modelling, water resource allocation under climate uncertainty, crop vulnerability assessment in Indian agriculture, climate-smart crop planning, soil wetness analysis, flood risk assessment, Arctic ice tracking, and air pollution assessment. The book also highlights emerging applications of fuzzy intelligence in climate change education through augmented and virtual reality, sustainable construction, additive manufacturing, green energy, and environmental-financial systems. By integrating data-driven methods with intelligent decision-support frameworks, it demonstrates how fuzzy approaches can help address uncertainty, complex environmental variables, and competing sustainability objectives. In addition, the book considers future research directions, policy development, and the role of intelligent systems in sustainable environmental planning. It is a valuable reference for researchers, academicians, postgraduate students, environmental scientists, climate researchers, agricultural specialists, data scientists, engineers, and policymakers interested in fuzzy systems, computational intelligence, climate change mitigation, and environmental management

Dr. Ramandeep Sandhu is Associate Professor of the School of Computer Science and Engineering at Lovely Professional University, Punjab, with more than 15 years of experience in the academic and research fields. She has a Ph.D. in Computer Science and Engineering, and her area of expertise in Cloud Computing, Machine Learning, Quantum Machine Learning, and Intelligent Systems. Her research portfolio is marked by the high impacts of the innovations that include the following areas: AI-based healthcare systems, wearable technologies, biosensors-based intelligent systems, and sustainable computer systems. She has published 20+ journal articles, 50+ book chapters, 20+ conference papers, 22 patents and 3 copyrights with significant focus on translational and applied research. Dr. Sandhu has also been an engaged participant of the world professional research fraternity by working as a reviewer, editorial board member and technical committee of the world-renowned journals and conferences. She has been cited as a resource person on advanced training courses in Machine Learning and Cloud computing and has been awarded various teaching excellence awards, research contribution awards, and academic leadership. Through her work, AI, IoT, data-driven optimization is integrated to respond to the real-world issues in healthcare, smart systems, and sustainable technologies. She can be contacted via email at ramandeepsandhu887@gmail.com or ramandeep.28362@lpu.co.in

Dr. Rakesh Kumar received his Ph.D., M.Phil. and M.sc in Mathematics from the Department of Mathematics, Lovely Professional University, India. He is currently serving as an Associate Professor in the Department of Statistics and Mathematics, Lovely Professional University. He is supervising many Ph.D. and master’s scholars. He authored many research articles in international journals of repute and reviewer of many international journals. He is an academic editor and editorial board member of many international journals. His research interests consist of supply chain management, numerical optimization, quality control, multicriteria decision making, and fuzzy optimization, fuzzy clustering, fuzzy neural network and fuzzy regression models.

Dr. Deepika Ghai has completed her Ph.D in the area of Signal and Image Processing from Punjab Engineering College (Deemed to be University), Chandigarh. She did her M.Tech in VLSI Design & CAD from Thapar University, Patiala, and B.Tech in Electronics and Communications Engineering from Rayat Institute of Engineering and Technology, Ropar. She is associated with Lovely Professional University as an Associate Professor with more than eight years of experience in academics. She has received Dr. C.B. Gupta Award in 2021 at Lovely Professional University. She has published more than 50 research papers in refereed journals and conferences. She has worked as a session chair, conference steering committee member, editorial board member, and reviewer in international/national IEEE Journal and conferences. She has also published a number of edited books, "Health Informatics and Technological Solutions for Coronavirus (COVID-19)" in CRC Taylor & Francis, "Machine Learning Algorithms for Signal and Image Processing" with Wiley-IEEE Press, "Multimodal Biometric and Machine Learning Technologies: Applications for Computer Vision" with Wiley Scrivener Publishing and "Artificial Intelligence Techniques for Sustainable Development" in CRC Taylor & Francis. She is associated as a life member of the Indian Science Congress. Her area of expertise includes Signal and Image Processing, Bio-medical Signal and Image Processing, and VLSI Signal Processing.

Prof. Sandeep Govindrao Panchal is an Assistant Professor in Computer Engineering - Artificial Intelligence, Machine Learning, & Data Science with over 16.5 years of teaching and academic experience. He holds a B.E. and M.Tech in Computer Science and Engineering and is currently pursuing a Ph.D. in CSE. His academic and research interests include Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Cloud Computing, and Software Engineering. He has published research papers in IEEE Scopus-indexed conferences, authored academic books, and holds multiple Indian and international design patents. Prof. Panchal has also contributed extensively to NBA and NAAC accreditation processes and actively mentors’ students in research, projects, and industry internships.

Chapter 1: Fuzzy Intelligence in Climate Modelling and Prediction
Senaf Sharma, Prasenjit Adak

Chapter 2: Fuzzy Techniques in Environmental Monitoring and Assessment
Hardarshan Kaur, Ramandeep Sandhu, Sandeep Chouhan

Chapter 3: Water Resource Allocation with Advanced Defuzzification-Based Fuzzy Multi-Objective Optimization under Climate-Induced Uncertainty
Pinki Gulia, Mansi, Rohit Malik

Chapter 4: A Neuro-Fuzzy Hybrid Approach for Climate-Responsive Crop Vulnerability Assessment in Indian Agriculture
Tanisha Saha, Himadri Nath Saha, Aritra Brahma

Chapter 5: AR/VR-Based Climate Change Education Using Intelligent Fuzzy Systems Concepts, Frameworks and Applications
Indraj Kumar, Lakhwinder Singh, Supriya Sethi, Ankush Kumar

Chapter 6: Hybrid Fuzzy Feature Engineering Framework for Climate Data Analytics Using Random Forest
Anshu Sharma

Chapter 7: Data-Driven Fuzzy Linear Fractional Programming for Climate-Smart Crop Allocation in India
Ravinder Kaur, Rakesh Kumar

Chapter 8: Fuzzy Decision Intelligence for the Green-Energy, Cryptocurrency Nexus: A Fuzzy C-Means, Mamdani Inference, and Fuzzy TOPSIS Framework for Environmental-Financial Systems
Samoon Khan, Prof. Rupinder Katoch, Gurbinder Singh Brar, Ramandeep Sandhu

Chapter 9: Fuzzy Intelligence in Climate Modelling and Prediction
Mankirat Singh, P. Basker, Divneet Singh Kapoor, Kiran Jot Singh

Chapter 10: Climate Variability and Soil Wetness Assessment Using Hybrid Fuzzy Intelligence and Time Series Modeling Techniques
Akshat Jain, Amir Ahmad Dar, Altaf Ahmad Bhat

Chapter 11: Decentralized Multi-Agent Swarm Coordination Under Polar Communication Uncertainties: A Fuzzy Metric Implementation for Arctic Ice Tracking
Astha Malhotra

Chapter 12: Fuzzy Knowledge Networks for Climate Risk Prediction and Sustainable Environmental Planning
Subrata Paul, Anirban Mitra

Chapter 13: Biophilic and Sustainable Construction as a Design Approach in Built Environments
Nitish Kumar Sharma, Swedika Sharma, Sandeep Salhotra, Charanjeet Gaba

Chapter 14: Future Policy Approach for Cognitive Neuro Design: A Bibliometric Approach
Gouri Shankar Chakraborty, Salil Batra, Sourav Das Polok, Pravallika Kondapalli, Ramandeep Sandhu, Makul Mahajan

Chapter 15: Hybrid Fuzzy Inference ML Framework for PM2.5 Risk Assessment and Climate-Aligned Policy Pathways to Bridge Air Quality and Climate Futures
Richa Nandra, Rakesh Kumar

Chapter 16: Intelligent Fuzzy Framework for Sustainable Additive Manufacturing in Climate Change Mitigation
Supriya Sethi, Indraj Kumar, Lakhwinder Singh

Chapter 17: Hybrid Models of Fuzzy Logic in Geospatial Data Analysis: Approaches, Applications and Perspectives for Future Research
Om Prakash Yadav, Deepika Ghai, Priyanshu Yadav

Chapter 18: Flood Risk Assessment Using Fuzzy Approaches
Charanjeet Gaba, Atul Kumar Singh, Nitish Kumar Sharma, Swedika Sharma

Chapter 19: Fuzzy Intelligence in Geospatial Analytics: Concepts, Techniques, and Climate Change Applications
Prabhjeet Kaur, Ramandeep Sandhu, Anjali Sharma, Lokesh Jasrai

Chapter 20: Challenges and Future Directions of Fuzzy Intelligence in Climate Change
Abhishek Bhattacherjee, Ajay Kumat Badhan, Ramandeep Sandhu