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基于模糊逻辑和组合证据理论的信息融合技术在网络管理中的应用
引用本文:王云岚,李增智,朱海萍,赵银亮.基于模糊逻辑和组合证据理论的信息融合技术在网络管理中的应用[J].小型微型计算机系统,2003,24(12):2092-2095.
作者姓名:王云岚  李增智  朱海萍  赵银亮
作者单位:西安交通大学,计算机系统结构与网络研究所,陕西,西安,710049
基金项目:国家自然科学基金项目 (60 1 730 66)资助
摘    要:研究基于模糊逻辑和组合证据理论的综合信息融合技术在网络管理中的应用.研究了用于网络管理的来源于多信息源的关联规则的融合方法和推理机制,以及故障与故障原因的模糊关系和模糊规则的融合方法及推理机制;在故障定位方面,采用组合证据理论对网络专家、规则推理和模糊推理所给出的故障原因进行融合得出综合的诊断结果。

关 键 词:信息融合  D-S证据理论  网络管理  模糊逻辑  组合证据理论  关联规则  推理机制
文章编号:1000-1220(2003)12-2092-04

Fuzzy Logical and Evidence Theory Based Information Fusion Methodology for Telecommunication Network Management
WANG Yun-lan,LI Zeng-zhi,ZHU Hai-ping,ZHAO Yin-liang.Fuzzy Logical and Evidence Theory Based Information Fusion Methodology for Telecommunication Network Management[J].Mini-micro Systems,2003,24(12):2092-2095.
Authors:WANG Yun-lan  LI Zeng-zhi  ZHU Hai-ping  ZHAO Yin-liang
Abstract:This paper is focused on the fuzzy logic and D-S evidence theory based information fusion methodology for telecommunication network management. The fusion algorithm and reasoning mechanism for relation rules in the field of network management is discussed, which are from multiple information sources and reveal the relations between the network fault and the fault causes. The same is done for fuzzy relations and fuzzy rules. Finally, in order to get the more reliable diagnosis result, the D-S evidence theory is adapted to fuse the fault diagnosis results from the experts, the result of rule reasoning and fuzzy reasoning.
Keywords:information fusion  D-S evidence theory  network management
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