"Foundations of Soft Case-Based Reasoning is the first book of its kind to provide a unified framework for understanding how soft computing techniques can be used to build and maintain case-based reasoning (CBR) systems. Written by two internationally renowned experts, the book demonstrates the latest advances of machine learning and intelligence and presents CBR methodologies and algorithms designed to be useful for both students of artificial intelligence and practitioners in the field." Structured according to the four major phases of the problem-solving process of a CBR representation and indexing of cases, case selection and retrieval, case adaptation, and case-base maintenance; the authors provide a solid foundation of the subject with a balanced mix of theory, algorithms, and application.