Fuzzy Logic in Circular Economy Engineering

Fuzzy Logic in Circular Economy Engineering demonstrates how fuzzy logic and computational intelligence methodologies can transform circular economy principles into practical, implementable tools and systems. Sustainability challenges today demand both innovative thinking and smart technological solutions. This resource explores the application of fuzzy logic techniques to circular economy engineering problems, enabling more effective resource management and waste reduction strategies. The book introduces fundamental circular economy concepts including closed-loop supply chains, product lifecycle management, and regenerative design principles. It examines how fuzzy systems handle uncertainty and imprecision inherent in circular economy decision-making processes. Key topics include fuzzy inference systems, optimization algorithms, multi-criteria decision analysis, and intelligent control systems for sustainable manufacturing. The text demonstrates practical implementations across various industrial contexts, showing how fuzzy logic enables better prediction, classification, and optimization in circular systems. Importantly, the material bridges technology with policy and governance frameworks, illustrating how computational tools support strategic sustainability initiatives. This resource serves engineers, researchers, sustainability professionals, and graduate students working to advance circular economy implementation through intelligent systems and computational methods.