Comprehensive information fusion methodology for telecommunication network management

Yun-lan Wang, Zeng-zhi Li, Jun Xue, Shi-Min Ban, Yinliang Zhao
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Abstract

Focuses on Dempster-Schafer (D-S) evidence theory and fuzzy logic based information fusion methodology for telecommunication network management The production rules, fuzzy relations and fuzzy rules for fault diagnosis are multi-source. The multi-source information should be fused to achieve more comprehensive information.. The fusion algorithms for production rules are presented, including the factor coordinator algorithm, sequential iteration algorithm and evidence theory based algorithm. The same is done for fuzzy relations and fuzzy rules. Furthermore, in order to get more reliable diagnosis results, the D-S evidence theory is adopted to fuse the fault diagnosis results from the experts, expert system and fuzzy reasoning system.
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电信网络管理的综合信息融合方法
基于D-S (Dempster-Schafer)证据理论和模糊逻辑的电信网络管理信息融合方法。故障诊断的产生规则、模糊关系和模糊规则是多源的。将多源信息进行融合,以获得更全面的信息。提出了生产规则的融合算法,包括因子协调算法、顺序迭代算法和基于证据理论的融合算法。对于模糊关系和模糊规则也是如此。为了获得更可靠的诊断结果,采用D-S证据理论将专家、专家系统和模糊推理系统的故障诊断结果进行融合。
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