Title :
Multivariate analytical knowledge acquisition method for knowledge based planning system
Author :
Kawashima, Kazuhiro ; Komoda, Norihisa
Author_Institution :
Hitachi Ltd., Kawasaki, Japan
fDate :
28 Oct-1 Nov 1991
Abstract :
The authors propose a new knowledge acquisition method for solving planning problems. Since original teaching data include ambiguous and faulty data, the data distribution is first evaluated by discriminant analysis. Then, by introducing confidence probability and suspended region concepts, effective data are selected and used as teaching data for the version space method. The proposed method can acquire strategic knowledge in concise descriptions and has been successfully installed in several scheduling and operation assignment systems. These applications confirm a reduction in the knowledge acquisition effort
Keywords :
knowledge acquisition; knowledge based systems; planning (artificial intelligence); MAKAM; confidence probability; data distribution; discriminant analysis; knowledge based planning system; multivariate analytical knowledge acquisition; operation assignment systems; scheduling; suspended region concepts; version space method; Education; Knowledge acquisition; Knowledge engineering; Laboratories; Logic; Modeling; Process planning; Production planning; Production systems; Strategic planning;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1991. Proceedings. IECON '91., 1991 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-87942-688-8
DOI :
10.1109/IECON.1991.239118
