DocumentCode :
2039752
Title :
A knowledge acquisition scheme for rule-based systems
Author :
Shyi-Ming Chen
Author_Institution :
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume :
2
fYear :
1993
fDate :
19-21 Oct. 1993
Firstpage :
621
Abstract :
We present a knowledge acquisition scheme for rule-based systems, where the domain expert or the knowledge engineer can express the domain knowledge in the form of fuzzy production rules and create a file containing these rules on a PC/AT by using the PE 3 editing program. Then, a translator is developed to translate the file of fuzzy production rules into a fuzzy Petri net model (FPN). Furthermore, the domain expert or the knowledge engineer can add new knowledge or update the existing knowledge by inserting new rules into the file or by updating the rules in the file using the PE 3 editing program.<>
Keywords :
Petri nets; expert systems; fuzzy logic; knowledge acquisition; knowledge representation; PC/AT; PE 3 editing program; domain expert; domain knowledge; expert systems; file translator; fuzzy Petri net model; fuzzy production rules; knowledge acquisition scheme; knowledge engineer; knowledge representation; rule insertion; rule updating; rule-based systems; Bars; Expert systems; Fuzzy sets; Fuzzy systems; Information science; Knowledge acquisition; Knowledge based systems; Knowledge engineering; Knowledge representation; Production systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
Type :
conf
DOI :
10.1109/TENCON.1993.320110
Filename :
320110
Link To Document :
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