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Article: A strategy for evaluating a fuzzy case-based construction procurement selection system

TitleA strategy for evaluating a fuzzy case-based construction procurement selection system
Authors
KeywordsCase-Based Reasoning
Procurement
Selection
Verification And Validation
Issue Date2006
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/advengsoft
Citation
Advances In Engineering Software, 2006, v. 37 n. 3, p. 159-171 How to Cite?
AbstractSystem Verification and Validation (V&V) is an essential element in the development and implementation of any computer-based decision tools. The unique concepts of Case-Based Reasoning (CBR), such as the use of mega-knowledge and nearest matching have generated extra challenges to system developers to ensure that the system is built right and the right system is built. However, little attention has been attributed to verifying and validating a CBR system. Recently, a fuzzy CBR prototype known as CaPS has been developed for the selection of appropriate construction procurement systems. To ensure that the procurement system is acceptable to the procurement experts in the construction industry, a series of tests have been conducted with domain experts using real cases (stored in the case base) and projects (as scenarios for retrieval and comparison). This paper reports on the findings of the V&V that have been performed on CaPS. Techniques available for verifying and validating a CBR system are first discussed. The V&V procedures applied to the prototype system are subsequently outlined. The results confirm that the cases stored in CaPS are correct, consistent, and irredundant. More importantly, the solutions generated by CaPS are accurate and innovative, and these are necessary for today's construction projects. © 2005 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/150332
ISSN
2015 Impact Factor: 1.673
2015 SCImago Journal Rankings: 0.812
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLuu, DTen_US
dc.contributor.authorNg, STen_US
dc.contributor.authorChen, SEen_US
dc.contributor.authorJefferies, Men_US
dc.date.accessioned2012-06-26T06:03:23Z-
dc.date.available2012-06-26T06:03:23Z-
dc.date.issued2006en_US
dc.identifier.citationAdvances In Engineering Software, 2006, v. 37 n. 3, p. 159-171en_US
dc.identifier.issn0965-9978en_US
dc.identifier.urihttp://hdl.handle.net/10722/150332-
dc.description.abstractSystem Verification and Validation (V&V) is an essential element in the development and implementation of any computer-based decision tools. The unique concepts of Case-Based Reasoning (CBR), such as the use of mega-knowledge and nearest matching have generated extra challenges to system developers to ensure that the system is built right and the right system is built. However, little attention has been attributed to verifying and validating a CBR system. Recently, a fuzzy CBR prototype known as CaPS has been developed for the selection of appropriate construction procurement systems. To ensure that the procurement system is acceptable to the procurement experts in the construction industry, a series of tests have been conducted with domain experts using real cases (stored in the case base) and projects (as scenarios for retrieval and comparison). This paper reports on the findings of the V&V that have been performed on CaPS. Techniques available for verifying and validating a CBR system are first discussed. The V&V procedures applied to the prototype system are subsequently outlined. The results confirm that the cases stored in CaPS are correct, consistent, and irredundant. More importantly, the solutions generated by CaPS are accurate and innovative, and these are necessary for today's construction projects. © 2005 Elsevier Ltd. All rights reserved.en_US
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/advengsoften_US
dc.relation.ispartofAdvances in Engineering Softwareen_US
dc.subjectCase-Based Reasoningen_US
dc.subjectProcurementen_US
dc.subjectSelectionen_US
dc.subjectVerification And Validationen_US
dc.titleA strategy for evaluating a fuzzy case-based construction procurement selection systemen_US
dc.typeArticleen_US
dc.identifier.emailNg, ST:tstng@hkucc.hku.hken_US
dc.identifier.authorityNg, ST=rp00158en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.advengsoft.2005.05.004en_US
dc.identifier.scopuseid_2-s2.0-28844490059en_US
dc.identifier.hkuros119077-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-28844490059&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume37en_US
dc.identifier.issue3en_US
dc.identifier.spage159en_US
dc.identifier.epage171en_US
dc.identifier.isiWOS:000235690500003-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridLuu, DT=6701536744en_US
dc.identifier.scopusauthoridNg, ST=7403358853en_US
dc.identifier.scopusauthoridChen, SE=7410252773en_US
dc.identifier.scopusauthoridJefferies, M=9845925700en_US

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