Journal of Dalian Maritime University >
2016 , Vol. 42 >Issue 3: 44 - 48
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2016.03.008
Research on multi-attribute ship classification method based on fuzzy C mean clustering algorithm
Received date: 2015-11-26
Revised date: 2016-01-10
Online published: 2016-01-10
In order to enhance ship management level and application performance of management resource for China MSA, the fuzzy C mean clustering algorithm (FCM) was proposed to rank ships and to construct a new evaluation system by establishing assessment indexes of ships, and judgment matrix on importance of each index from five maritime experts formed the comprehensive quality evaluation index weights of the ship. Some cases were verified by using MATLAB. Results show that FCM can reduce subjectivity in threshold setting and make it more scientific in ship management.
BAO Jun-zhong , WANG Li-dong , WANG Xi-zhao . Research on multi-attribute ship classification method based on fuzzy C mean clustering algorithm[J]. Journal of Dalian Maritime University, 2016 , 42(3) : 44 -48 . DOI: 10.16411/j.cnki.issn1006-7736.2016.03.008
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