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A formal method for analyzing and integrating the rule-sets of multiple experts
dc.contributor.authorNgwenyama, Ojelanki K.en_US
dc.contributor.authorBryson, Noelen_US
dc.date.accessioned2006-04-10T15:21:39Z
dc.date.available2006-04-10T15:21:39Z
dc.date.issued1992-01en_US
dc.identifier.citationNgwenyama, Ojelanki K., Bryson, Noel (1992/01)."A formal method for analyzing and integrating the rule-sets of multiple experts." Information Systems 17(1): 1-16. <http://hdl.handle.net/2027.42/30250>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V0G-48VWTPC-6P/2/b9bf56727ff194254e5ad918feaac630en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/30250
dc.description.abstractAlthough there has been a movement toward the use of multiple sources of knowledge for expert systems development, there are no formal methods to guide knowledge engineers in integrating these sources. Further approaches for dealing with problems of inaccuracies, inconsistencies, and imcompleteness are not widely discussed in literature. This paper discusses a formal method for documenting, integrating and normalizing knowledge-bases derived from different knowledge sources. A case study is used to demonstrate the effectiveness of the method.en_US
dc.format.extent1132244 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleA formal method for analyzing and integrating the rule-sets of multiple expertsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPhilosophyen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumComputer and Information Systems, School of Business Administration, The University of Michigan, Ann Arbor, MI 48109-1234, U.S.A.en_US
dc.contributor.affiliationotherDepartment of Information Systems and Analysis, School of Business Administration, Howard University, Washington D.C., U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/30250/1/0000645.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0306-4379(92)90002-5en_US
dc.identifier.sourceInformation Systemsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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