The aim of this commentary is to discuss the contribution of soft computing—a consortium of fuzzy logic, neural network theory, evolutionary computing, and probabilistic reasoning—to the development of case-based reasoning (CBR) systems. We will describe how soft computing has been used in case representation, retrieval, adaptation, reuse, and case-base maintenance, and then present a brief summary of six CBR applications that use soft computing techniques.
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WILLIAM CHEETHAM, SIMON SHIU, ROSINA O. WEBER. 2005. Soft case-based reasoning. The Knowledge Engineering Review. 20: doi: 10.1017/S0269888906000579
WILLIAM CHEETHAM, SIMON SHIU, ROSINA O. WEBER. 2005. Soft case-based reasoning. The Knowledge Engineering Review. 20: doi: 10.1017/S0269888906000579
Abstract: The aim of this commentary is to discuss the contribution of soft computing—a consortium of fuzzy logic, neural network theory, evolutionary computing, and probabilistic reasoning—to the development of case-based reasoning (CBR) systems. We will describe how soft computing has been used in case representation, retrieval, adaptation, reuse, and case-base maintenance, and then present a brief summary of six CBR applications that use soft computing techniques.
