Fuzzy Sets, Decision Making, and Expert Systems

The theory of fuzzy sets, developed by L. Zadeh, has evolved into a comprehensive framework for analyzing complex phenomena beyond classical probability and logic. Despite skepticism regarding its distinct advantages, extensive research across disciplines such as AI, robotics, and decision-making confirms its value. The lack of accessible textbooks has hindered newcomers, prompting the publication of this foundational work, which aims to bridge that gap and provide a thorough introduction to fuzzy set theory and its applications, albeit with limited detail on specific applications.