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

Z. Yu, Yezhuang Tian, Bao Xi
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引用次数: 6

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
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基于信息演化价值的电子商务信息融合证据理论
持续改进是多源数据下电子商务信息融合的典型领域。本文提出了一种熵和信息值协同进化的混合阻尼-谢弗方法。结果表明,改进后的理论是一种信息融合的多准则决策工具,能有效地降低信息不确定性,提高电子商务持续改进过程和质量控制的绩效
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