DocumentCode :
2786022
Title :
An integrated rule-based reduction system
Author :
Higa, Kunihiko ; Owei, Vesper
Author_Institution :
Sch. of Manage., George Inst. of Technol., Atlanta, GA, USA
fYear :
1991
fDate :
30 Sep-2 Oct 1991
Firstpage :
120
Lastpage :
128
Abstract :
Although user-friendly and rule-based expert system shells ease the implementation of expert systems and allow for quick prototyping, their use could easily lead to ill-structured knowledge-bases. They provide no methodical way to design and maintain rule-bases (RBs). Thus, the use of these shells does not reduce the complexity of the RB design/maintenance methodology is given. The focus is on the implementation aspect of the methodology, and the RB size reduction methodology is formalized. The result is an integrated rule reduction system (IRRS) that checks for and detects incompleteness and inconsistencies in RBs and performs RB size reduction
Keywords :
expert systems; software maintenance; software prototyping; ill-structured knowledge-bases; incompleteness; inconsistencies; integrated rule reduction system; quick prototyping; rule-based expert system shells; size reduction methodology; software design; software maintenance; user-friendly; Clustering algorithms; Decision trees; Design methodology; Entropy; Expert systems; Knowledge management; Partitioning algorithms; Production systems; Prototypes; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Developing and Managing Expert System Programs, 1991., Proceedings of the IEEE/ACM International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-2250-4
Type :
conf
DOI :
10.1109/DMESP.1991.171720
Filename :
171720
Link To Document :
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