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Research on similarity measure among ship maintenance cost cases based on a combined fuzzy clustering algorithm

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2 Author(s)
Shuyu Zi ; Department of Equipment Economics and Management, Naval University of Engineering, Wuhan, Hubei Province, China ; Ruxiang Wei

Similarity measure among ship maintenance cost cases plays an important role in cost forecasting. A combined fuzzy clustering algorithm which integrates fuzzy transitive closure method and fuzzy c-means method is proposed to deal with this problem. In order to improve the performance of the combined algorithm, a weighted cosine distance method is also put forward to establish a more reasonable fuzzy similar matrix. The experiments show that the proposed fuzzy clustering algorithm can greatly improve the quality of case retrieval. The application of the combined algorithm is feasible and effective.

Published in:

Future Information Technology and Management Engineering (FITME), 2010 International Conference on  (Volume:1 )

Date of Conference:

9-10 Oct. 2010