A new evidence fusion approach for decision of proactive service

De-gan Zhang, C. Li, Wei-Wei Li, Xu-yan Chen
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Abstract

Multi-source heterogeneous information fusion is an extremely challenging problem because of the complex and highly irregular nature of environment. We consider decision fusion problem in the presence of m-dependent evidences in this paper. A new evidence fusion approach for decision of proactive service has introduced, which is extending of Class D-S Evidence method. We applied this approach in our active space project for seamless nomadic service of pervasive computing paradigm, good results have been attained. The validity of approach of this paper has been tested.
一种新的主动服务决策证据融合方法
由于环境的复杂性和高度不规则性,多源异构信息融合是一个极具挑战性的问题。本文考虑存在m相关证据的决策融合问题。介绍了一种新的主动服务决策证据融合方法,它是D-S类证据方法的扩展。我们将此方法应用于普适计算范式的无缝游牧服务的活动空间项目中,取得了良好的效果。本文方法的有效性得到了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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