This book aims to serve as a comprehensive resource that equips readers with the knowledge and practical skills needed to navigate the intricacies of fuzzy set theory, t-norms, and their integration into decision-aided intelligent systems. It provides a comprehensive understanding of aggregation operators and their role in data fusion, risk analysis, and expert opinion aggregation.

• Discusses decision aid framework for enhancing customer segmentation and marketing strategies.
• Presents a decision model framework for assessing the performance of green supply chains.
• Highlights the assessment of renewable energy resources using triangular-norm operations and evaluation of smart mega cities under a Pythagorean fuzzy environment.
• Covers a decision support model for medical diagnosis and treatment planning and a decision-making intelligent feedback system based on fuzzy norm operations.
• Illustrates a decision support model for medical diagnosis and treatment planning and a Fine-Kinney risk assessment methodology based on an extension of fuzzy sets.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including engineering mathematics, industrial engineering, supply chain management, operations research, manufacturing engineering, production engineering, and applied mathematics.