Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61995
Title: Virtual Engineering Objects: Effective Way of Knowledge Representation and Decision Making
Contributor(s): Shafiq, Syed Imran (author); Sanin, Cesar  (author)orcid ; 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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