This paper presents a knowledge-sharing framework for achieving effective knowledge reuse within industrial organisations. This knowledge re-use paradigm goes beyond traditional e...
Techniques that traditionally have been useful for retrieving same-domain analogies from small single-use knowledge bases, such as spreading activation and indexing on selected fe...
Bayesian networks (BN) are particularly well suited to capturing vague and uncertain knowledge. However, the capture of this knowledge and associated reasoning from human domain e...
Jonathan D. Pfautz, Zach Cox, Geoffrey Catto, Davi...
—This paper proposes a dominant color based vector quantization algorithm that automatically categorizes image regions. In contrast to the conventional vector quantization algori...
Granulation is an important component of Granular Computing (GrC) as a problem solving paradigm. Specification and regulation of granulation are necessary in helping researchers a...