Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/61995
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shafiq, Syed Imran | en |
dc.contributor.author | Sanin, Cesar | en |
dc.contributor.author | Szczerbicki, Edward | en |
dc.contributor.author | Toro, Carlos | en |
local.source.editor | Editor(s): Dariusz Barbucha, Ngoc Thanh Nguyen and John Batubara | en |
dc.date.accessioned | 2024-08-07T05:03:06Z | - |
dc.date.available | 2024-08-07T05:03:06Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | New Trends in Intelligent Information and Database Systems, p. 261-270 | en |
dc.identifier.isbn | 9783319162119 | en |
dc.identifier.isbn | 9783319368504 | en |
dc.identifier.isbn | 9783319162102 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/61995 | - |
dc.description.abstract | <p>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.</p> | en |
dc.language | en | en |
dc.publisher | Springer | en |
dc.relation.ispartof | New Trends in Intelligent Information and Database Systems | en |
dc.relation.ispartofseries | Studies in Computational Intelligence | en |
dc.title | Virtual Engineering Objects: Effective Way of Knowledge Representation and Decision Making | en |
dc.type | Book Chapter | en |
dc.identifier.doi | 10.1007/978-3-319-16211-9_27 | en |
local.contributor.firstname | Syed Imran | en |
local.contributor.firstname | Cesar | en |
local.contributor.firstname | Edward | en |
local.contributor.firstname | Carlos | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | cmaldon3@une.edu.au | en |
local.output.category | B1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.publisher.place | Germany | en |
local.format.startpage | 261 | en |
local.format.endpage | 270 | en |
local.series.issn | 1860-9503 | - |
local.series.issn | 1860-949X | - |
local.series.number | 598 | en |
local.peerreviewed | Yes | en |
local.title.subtitle | Effective Way of Knowledge Representation and Decision Making | en |
local.contributor.lastname | Shafiq | en |
local.contributor.lastname | Sanin | en |
local.contributor.lastname | Szczerbicki | en |
local.contributor.lastname | Toro | en |
dc.identifier.staff | une-id:cmaldon3 | en |
local.profile.orcid | 0000-0001-8515-417X | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/61995 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Virtual Engineering Objects | en |
local.output.categorydescription | B1 Chapter in a Scholarly Book | en |
local.search.author | Shafiq, Syed Imran | en |
local.search.author | Sanin, Cesar | en |
local.search.author | Szczerbicki, Edward | en |
local.search.author | Toro, Carlos | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/060ea8a3-bb22-46f7-b29c-5baf3e4b9dd4 | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/a36b866b-4344-492e-b650-aa0e99d33720 | en |
local.uneassociation | No | en |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.year.published | 2015 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/a36b866b-4344-492e-b650-aa0e99d33720 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/060ea8a3-bb22-46f7-b29c-5baf3e4b9dd4 | en |
local.fileurl.closedpublished | https://rune.une.edu.au/web/retrieve/060ea8a3-bb22-46f7-b29c-5baf3e4b9dd4 | en |
local.subject.for2020 | 4602 Artificial intelligence | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.date.moved | 2024-08-07 | en |
Appears in Collections: | Book Chapter School of Science and Technology |
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