A fuzzy-based automatic prediction system for quality evaluation of conceptual data warehouse models

In the paper, we present an automatic system based on fuzzy logic to predict the understanding time of conceptual data warehouse models. The system takes as input the values of quality metrics for a model and gives understanding time as output. The metrics used for quality evaluation have been proposed and validated by Manuel Serrano. The results of automatic system are compared with the results of actual data collection made manually. The predicted results are highly significant to prove the validity and efficiency of the designed automatic system.