Title :
Dempster-Shafer evidence theory of information fusion based on info-evolutionary value for e-business with continuous improvement
Author :
Yu, Zhiling ; Tian, Yezhuang ; Xi, Bao
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol.
Abstract :
Continuous improvement is the typical field of e-business information fusion in terms of multi-source data. This research proposes a hybrid Dampster-Shafer method with entropy and information value co-evolutionary 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 e-business performance of continuous improvement process and quality control
Keywords :
continuous improvement; decision making; electronic commerce; sensor fusion; uncertainty handling; Dempster-Shafer evidence theory; continuous improvement; e-business information fusion; info-evolutionary value; information uncertainty; multicriteria decision tool; multisource data; quality control; Artificial intelligence; Bayesian methods; Continuous improvement; Entropy; Formal languages; Instruments; Quality control; Redundancy; Technology management; Uncertainty;
Conference_Titel :
e-Business Engineering, 2005. ICEBE 2005. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2430-3
DOI :
10.1109/ICEBE.2005.48
