DocumentCode :
3024956
Title :
Consistency in fuzzy rule based systems: an application in elementary school performance evaluation
Author :
Ammar, Salwa ; Bifulco, Robert ; Duncombe, William ; Wright, Ronald
Author_Institution :
Dept. of Bus. Adm., Le Moyne Coll., Syracuse, NY, USA
fYear :
1999
fDate :
36342
Firstpage :
120
Lastpage :
124
Abstract :
Performance evaluation and reform of public organizations is receiving increased attention. In many cases identification of the lowest performing organizations is an important part of performance based reforms. Programs to identify low performance would typically benefit from incorporation of expert judgement, provided that judgement could be applied in a verifiable and fair manner. Fuzzy rule based systems provide a mechanism for modeling expert judgement. However, translating that expertise into a consistent set of rules can be even more challenging for performance evaluation than it has been in engineering applications. We describe an approach that first creates a comprehensive and complete set of rules and then modifies those rules to prevent inconsistent results
Keywords :
educational administrative data processing; expert systems; fuzzy set theory; uncertainty handling; elementary school performance evaluation; engineering applications; expert judgement; fuzzy rule based systems; inconsistent results; low performance; performance based reforms; performance evaluation; public organizations; Business; Cities and towns; Educational institutions; Educational programs; Employment; Fuzzy systems; Knowledge based systems; Pediatrics; Public healthcare; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5211-4
Type :
conf
DOI :
10.1109/NAFIPS.1999.781666
Filename :
781666
Link To Document :
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