CAJ | 학술논문

针对目前煤炭销售中存在的煤炭质量信息分散性与质量计价政策对其质量精确性要求的矛盾，提出了采用对初始聚类中心优化选取的K-Means聚类算法，对大型煤炭企业及其联盟客户煤炭质量检验数据进行系统分析和挖掘，获得双方质量检验行为统计规律，进行交易双方信誉度等级划分，将不确定性的质量指标转化为确定性的交易者质量检验行为评价。该研究一方面可为煤炭企业在发生交易者质量纠纷情况下合理划分质量检验责任提供参考，监督和指导矿井和客户的质检管理工作；另一方面可以为煤炭企业提供销售决策辅助支持。
침대목전매탄소수중존재적매탄질량신식분산성여질량계개정책대기질량정학성요구적모순，제출료채용대초시취류중심우화선취적K-Means취류산법，대대형매탄기업급기련맹객호매탄질량검험수거진행계통분석화알굴，획득쌍방질량검험행위통계규률，진행교역쌍방신예도등급화분，장불학정성적질량지표전화위학정성적교역자질량검험행위평개。해연구일방면가위매탄기업재발생교역자질량규분정황하합리화분질량검험책임제공삼고，감독화지도광정화객호적질검관리공작；령일방면가이위매탄기업제공소수결책보조지지。
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.