Rashmi Singh

This book provides a comprehensive framework for integrating Fuzzy Logic with Multi-agent Systems and Artificial Intelligence of Things (AIoT) to create advanced environmental monitoring and pollution control systems. It offers researchers, environmental engineers, and technology developers a systematic approach to designing intelligent environmental monitoring networks that can handle uncertainty, operate autonomously, and enable real-time pollution detection and response. This book addresses the critical challenge of environmental degradation by presenting cutting-edge technological solutions that enhance monitoring precision, coverage, and responsiveness. The integration of fuzzy logic with multi-agent systems represents a significant advancement in handling the inherent uncertainties in environmental data while distributing intelligence across monitoring networks. This book explores how fuzzy reasoning enhances decision-making capabilities in pollution detection, source identification, and remediation planning. It demonstrates how multi-agent architectures facilitate coordination among distributed sensors and actuators, enabling more comprehensive environmental coverage and resilient system operation. The AIoT dimension adds the critical capability of real-time data processing, pattern recognition, and autonomous response to...