Data Warehouse (DWH) Efficiency Evaluation Using FuzzyData Envelopment Analysis (FDEA)

摘要

This paper proposes the macro model and micro model for the efficiency evaluation of data warehouses (DWH), andrnintroduces Fuzzy Data Envelopment Analysis (FDEA) and Data Envelopment Analysis (DEA) to comprehensively assessrnDWH efficiency. FDEA can determine the efficiencies of data warehouses with multiple input / output variables, and alsornresolve the problem that standard DEA cannot handle with imprecise input / output data. FDEA results present efficiencyrnfrom different viewpoints: Best-Worst Scenario and Worst-Best Scenario. The final ranking results between FDEA and DEArnare similar on the highest efficiency and the lowest efficiency of data warehouses. Compared with DEA, FDEA canrndistinguish the efficiency difference for some data warehouses.