An Aggregating Prediction Model for Management Decision Analysis

Facing an increasingly competitive market, enterprises need correct decisions to solve operational problems in a timely manner maintain their advantages. In this context, insufficient information may lead overfitting phenomenon general mathematical modeling methods, making it difficult ensure good analytical performance. Therefore, is important for be able effectively analyze and make predictions using small data sets. Although various approaches have been developed the problem of prediction, application often limited by observations. To further enforce effectiveness uncertainty processing, study proposed aggregating prediction model management decision analysis Compared with six popular approaches, results from experiments show that method can deal set thus appropriate tool managers.