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pro vyhledávání: '"Rouven Walter"'
Autor:
Rouven Walter, Stefan Reiterer, Seda Polat Erdeniz, David Benavides, José A. Galindo, Müslüm Atas, Alexander Felfernig
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Journal of Intelligent Information Systems
instname
Journal of Intelligent Information Systems
Many domains require scalable algorithms that help to determine diagnoses efficiently and often within predefined time limits. Anytime diagnosis is able to determine solutions in such a way and thus is especially useful in real-time scenarios such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cd2ca001a075f4a4f7f522ba5f06d53
Publikováno v:
Mathematical Aspects of Computer and Information Sciences ISBN: 9783319328584
MACIS
MACIS
It is a problem in automotive configuration to determine the minimum number of test vehicles which are needed for testing a given set of equipment options. This problem is related to the minimum set cover problem, but with the additional restriction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54426b2e83dec380c35e7ac0544b4013
https://doi.org/10.1007/978-3-319-32859-1_52
https://doi.org/10.1007/978-3-319-32859-1_52
Publikováno v:
Journal of Intelligent Information Systems
We compare the concepts and computation of optimized diagnoses in the context of Boolean constraint based knowledge systems of automotive configuration, namely the preferred minimal diagnosis and the minimum weighted diagnosis. In order to restore th