DocumentCode :
389657
Title :
Comprehensive information fusion methodology for telecommunication network management
Author :
Wang, Yun-Lan ; Li, Zeng-Zhi ; Xue, Jun ; Ban, Shi-min ; Zhao, Yin-Liang
Author_Institution :
Inst. of Comput. Archit. & Networks, Xi´´an Jiaotong Univ., China
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
8
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.
Keywords :
data mining; expert systems; fault diagnosis; fuzzy logic; fuzzy set theory; inference mechanisms; telecommunication network management; Dempster-Schafer evidence theory; expert system; factor coordinator algorithm; fault diagnosis; fuzzy logic; fuzzy reasoning system; fuzzy relations; fuzzy rules; information fusion methodology; production rules; sequential iteration algorithm; telecommunication network management; Diagnostic expert systems; Fault diagnosis; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Knowledge management; Production systems; Telecommunication network management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
Type :
conf
DOI :
10.1109/ICMLC.2002.1176697
Filename :
1176697
Link To Document :
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