计算机工程与应用Issue(2)：231-236,241,7.DOI:10.3778/j.issn.1002-8331.1307-0379
基于改进K-Means聚类的煤炭交易者信誉度划分
Coal traders’credibility division based on improved K-Means clustering
摘要
Abstract
Aimed at the contradiction that the coal quality information is scattered and the quality-valuation policy requires the precision of its quality, which is existing in coal sales currently, a new K-Means clustering algorithm optimizing the selection of the initial clustering center is proposed, and a detailed analysis and data mining on the data of the coal quality inspection produced by a large-scale coal enterprise and its alliance customers is conducted, in order to gain the statistical rules of the traders’quality inspection behaviors, and grade credibility hierarchies of the traders on both sides, thus trans-forming the uncertain quality indicators into the deterministic evaluation of the traders’quality inspection behaviors. On one hand, it can provide reference for the coal enterprises to divide the responsibility of quality inspection reasonably when the quality disputes of the traders occur, and supervise and guide the quality inspection managements of mines and customers at the same time;on the other hand, it can provide ancillary support for the sales decision of the coal enterprises.关键词
信誉度/供应链/聚类中心/质量检验/K-Means聚类Key words
credibility/supply chain/clustering center/quality inspection/K-Means clustering分类
信息技术与安全科学引用本文复制引用
闫新庆,王换换,栗青霞,傅喆..基于改进K-Means聚类的煤炭交易者信誉度划分[J].计算机工程与应用,2014,(2):231-236,241,7.基金项目
河南省高校科技创新人才（No.2011HAIST020）；河南省基础与前沿研究计划（No.132300410081）。 （）
