Predicting the Quality of Object-oriented Multidimensional (oomd) Model of Data Warehouse Using Fuzzy Logic Technique

Data warehouse is a powerful tool which makes decision faster and reliable in organizations where ‘information’ is the main asset of primary concern. It is very necessary to assure the information quality of the data warehouse. Information quality depends on multidimensional model quality of data warehouse. In the last few years’ different authors have suggested several approaches to access the quality of multidimensional models of data warehouse. However empirical validation of these metrics has been made using statistical technique like correlation analysis, univariate and multivariate regression technique etc. But all these technique are not capable to model non linear relationship between the metrics and the quality of multidimensional model. In this paper we firstly proposed a model based on fuzzy logic technique to model nonlinear relationships between the metrics and the quality of objectoriented multidimensional (OOMD) model. Then empirically evaluate the effectiveness of the proposed model, result of fuzzy based model compared with the result of controlled experiment conducted by us and result shows that the proposed fuzzy logic based model is capable to predict the output with considerable accuracy.