Please use this identifier to cite or link to this item: doi:10.22028/D291-40275
Title: Similarity, Uncertainty and Case-Based Reasoning in PADTEX
Author(s): Richter, Michael M.
Weß, Stefan
Language: English
Year of Publication: 1991
Place of publication: Kaiserslautern
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: 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
Link to this record: urn:nbn:de:bsz:291--ds-402759
hdl:20.500.11880/36215
http://dx.doi.org/10.22028/D291-40275
Series name: SEKI-Report / Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI [ISSN 1437-4447]
Series volume: 91,1
Date of registration: 11-Aug-2023
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Professorship: SE - Sonstige
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



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