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Knowledge and experience engineering techniques are becoming increasingly useful and popular components of hybrid integrated systems used to solve complex real-life problems in different disciplines. These techniques offer features such as learning from experience, handling noisy and incomplete data, helping with decision making, and predicting capabilities. In this article, we present a number of different applications of a multidomain knowledge representation structure called decisional DNA that can be implemented and shared for the exploitation of embedded knowledge within different technologies.
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Keywords: artificial intelligence; decision making; decisional DNA; knowledge engineering; knowledge representation; set of experience knowledge structure

Document Type: Research Article

Affiliations: 1: The University of Newcastle, Faculty of Engineering and Built Environment, University Drive, Callaghan,NSW, Australia 2: Gdansk University of Technology, Gdansk, Poland

Publication date: February 1, 2012

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