An Integrated DEA-ANN Rough Set Theory Agorithm for Assessment of Impact of Personnel Attributes on Total Efficiency and Efficiency Forecasting

Personal specifications have greatest impact on total efficiency.They can help us to design work environment and enhance total efficiency.Determination of critical personal attributes is a useful procedure to overcome complication associated with multiple inputs and outputs. the proposed algorithm assesses the impact of personnel efficiency attributes on total efficiency through Data.envelopment analysis (DEA), Artificial Nerual Network and Rough Set Theroy(RST). DEA has two roles in the proposed integrated algorithm of this study. It provides data ANN and finally it selectes the best reduct through ANN result.Reduct is described as a minimum subset of attributes, compelety discriminating all objects in a data set. The reduct selection is achieved by RST. ANN has two roles in the integrated algorithm. ANN results are for selecting the best reduct and it is used for forecasting total efficiency. The proposed approach is applied to an actual banking system and its superiorities and advantages are discussed.

کلیدواژه ها:

Personnel ، Efficiency ، DEA ، ANN ، Rough Set Theory