A New Algorithm for the Fuzziness of Alarms in Network Faults Diagnosis

Pan Liu; Xing Ming Li; Jian Wu

doi:10.4028/www.scientific.net/AMM.198-199.1539

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 198-199A New Algorithm for the Fuzziness of Alarms in...

A New Algorithm for the Fuzziness of Alarms in Network Faults Diagnosis

Abstract:

The alarm correlation analysis based on fuzzy association rules mining is the popular and cutting-edge field of the network fault diagnosis research. In the application environment of alarms in communication networks, a new algorithm of the fuzziness of alarms which is called FKMA (Fuzzy K-Means of Alarms algorithm) is proposed .During the process of fuzziness, there are two methods of sorting the center. Simulations are carried out to the comparison of the two methods. The fuzziness of alarms is effectively realized. And fuzzy association rules mining are achieved. The advantages and efficiency of FKMA are demonstrated by experiments.

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Periodical:

Applied Mechanics and Materials (Volumes 198-199)

Pages:

1539-1544

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.198-199.1539

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Online since:

September 2012

Authors:

Pan Liu, Xing Ming Li, Jian Wu

Keywords:

Fuzzy Association Rules, Fuzzy Membership, Fuzzy Set, Network Fault Diagnosis

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References

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