Dempster-Shafer evidence theory of information fusion based on info-evolutionary value for e-business with continuous improvement

Abstract

Continuous improvement is the typical field of ebusiness information fusion in terms of multi-source data. This research proposes a hybrid Dampster-Shafer method with entropy and information value coevolutionary for desegregation data. The result shows, the modified theory is a multi-criteria decision tool for information fusion in decreasing the information uncertainty effectively, which can advance the ebusiness performance of continuous improvement process and quality control.