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dc.contributor.authorFelfernig, Alexander
dc.contributor.authorMandl, Monika
dc.contributor.authorSchubert, Monika
dc.contributor.editorFähnrich, Klaus-Peter
dc.contributor.editorFranczyk, Bogdan
dc.date.accessioned2019-01-11T10:12:12Z
dc.date.available2019-01-11T10:12:12Z
dc.date.issued2010
dc.identifier.isbn978-3-88579-269-7
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/19138
dc.description.abstractKnowledge-based configurators support customers in preference construction processes related to complex products and services. In this context utility constraints (scoring rules) play an important role. They determine the order in which configurations are presented to customers. In many cases utility constraints are faulty, i.e., calculate configuration rankings which are not expected and accepted by marketing and sales experts. The repair of these constraints is extremely time-consuming and often an error-prone task. In this paper we present an approach which effectively supports automated debugging and repair of faulty utility constraint sets. This approach allows us to automatically take into account intended rankings of configurations specified by marketing and sales experts.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 1
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-175
dc.titleIntelligent debugging of utility constraints in configuration knowledge basesen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages767-772
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationLeipzig
mci.conference.date27.09.-1.10.2010


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