Title : 
An integrated rule-based reduction system
         
        
            Author : 
Higa, Kunihiko ; Owei, Vesper
         
        
            Author_Institution : 
Sch. of Manage., George Inst. of Technol., Atlanta, GA, USA
         
        
        
            fDate : 
30 Sep-2 Oct 1991
         
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/DMESP.1991.171720