DocumentCode :
1962893
Title :
Quality Competitiveness Index (QCI) Model Based on Experts´ Rules and ANN
Author :
Feng, Cai ; Jiadong, Jiang
Author_Institution :
Dept. of Quality Res., China Aero-Polytechnology Establ., Beijing
fYear :
2008
fDate :
23-25 May 2008
Firstpage :
93
Lastpage :
96
Abstract :
To further research on methods of evaluating quality competitiveness of an enterprise, a novel quality competitiveness index (QCI) model based on experts´ rules and artificial neural network (ANN) is proposed. Existing QCI model based on experts´ rules is first introduced, and its shortages are analyzed. ANN is then employed to construct the novel QCI model, and basic principles and construction approaches of the novel model are discussed in particular. A simulation example indicates that, the novel model can fit the nonlinear mapping between QCI and observed variables of quality competitiveness, and has stronger characteristics of error tolerance.
Keywords :
neural nets; quality management; artificial neural network; error tolerance; expert rules; quality competitiveness index model; Artificial neural networks; Buildings; Decision making; Economic indicators; Electronic mail; Information processing; Quality management; Sustainable development; Artificial Neural Network (ANN); Quality Competitiveness Index (QCI); experts´ rules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing (ISIP), 2008 International Symposiums on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3151-9
Type :
conf
DOI :
10.1109/ISIP.2008.113
Filename :
4554064
Link To Document :
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