https://hdl.handle.net/1959.11/61995
Title: | Virtual Engineering Objects: Effective Way of Knowledge Representation and Decision Making |
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Contributor(s): | Shafiq, Syed Imran (author); Sanin, Cesar (author) ; Szczerbicki, Edward (author); Toro, Carlos (author) |
Publication Date: | 2015 |
DOI: | 10.1007/978-3-319-16211-9_27 |
Handle Link: | https://hdl.handle.net/1959.11/61995 |
Abstract: | This paper presents a knowledge representation case study by constructing Decisional DNA of engineering objects. Decisional DNA, as a knowledge representation structure not only offers great possibilities on gathering explicit knowledge of formal decision events but also it is a powerful tool for decision-making process. The concept of Virtual engineering Object (VEO), which is a knowledge and experience representation of engineering artefacts, is also discussed. In this paper, we present several Sets of Experience of engineering objects used in manufacturing that were collected for the construction of a VEO-chromosome within the VEO-Decisional DNA. VEO is used to enhance manufacturing systems with predicting capabilities, facilitating decision-making in engineering processes knowledge handling. |
Publication Type: | Book Chapter |
Source of Publication: | New Trends in Intelligent Information and Database Systems, p. 261-270 |
Publisher: | Springer |
Place of Publication: | Germany |
ISBN: | 9783319162119 9783319368504 9783319162102 |
Fields of Research (FoR) 2020: | 4602 Artificial intelligence |
HERDC Category Description: | B1 Chapter in a Scholarly Book |
Series Name: | Studies in Computational Intelligence |
Series Number : | 598 |
Editor: | Editor(s): Dariusz Barbucha, Ngoc Thanh Nguyen and John Batubara |
Appears in Collections: | Book Chapter School of Science and Technology |
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