This book provides a unified treatment of fuzzy models for pattern recognition and selected topics in image processing and computer vision. It is written by four authors to ensure a consistent notation and presentation style throughout. The text covers key areas such as clustering, classifier design, feature analysis, and relational clustering, with applications in diverse fields like medicine, character recognition, and industrial engineering.

This handbook offers a thorough exploration of fuzzy logic's application in pattern recognition and image processing, presenting a cohesive and unified approach due to its single-author authorship. The detailed coverage of clustering, classifier design, and feature analysis, supported by practical examples and figures, makes it a valuable resource for researchers and practitioners in the field. Its focus on real-world applications across various domains highlights the practical utility of fuzzy models. The book is structured to provide a deep understanding of the methodologies and their implementation.