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Similarity, uncertainty and case-based reasoning in PATDEX

  • Patdex is an expert system which carries out case-based reasoning for the fault diagnosis of complex machines. It is integrated in the Moltke workbench for technical diagnosis, which was developed at the university of Kaiserslautern over the past years, Moltke contains other parts as well, in particular a model-based approach; in Patdex where essentially the heuristic features are located. The use of cases also plays an important role for knowledge acquisition. In this paper we describe Patdex from a principal point of view and embed its main concepts into a theoretical framework.

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Metadaten
Author:Michael M. Richter, Stefan Wess
URN:urn:nbn:de:hbz:386-kluedo-3575
Series (Serial Number):SEKI Report (91,1)
Document Type:Preprint
Language of publication:English
Year of Completion:1999
Year of first Publication:1999
Publishing Institution:Technische Universität Kaiserslautern
Date of the Publication (Server):2000/04/03
Tag:Case-Based Reasoning; PATDEX
Note:
The work presented herein was partially supported by the Deutsche Forschungsgemeinschaft,SFB 314:Artificial Intelligence - Knowledge-Based Systems, projects X6 and X9.
Faculties / Organisational entities:Kaiserslautern - Fachbereich Informatik
DDC-Cassification:0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):Standard gemäß KLUEDO-Leitlinien vor dem 27.05.2011