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基于灰色聚类的汽车健康状态评估

胡龙萍 徐晓凤

计算机技术与发展Issue(10):216-220,5.
计算机技术与发展Issue(10):216-220,5.DOI:10.3969/j.issn.1673-629X.2014.10.052

基于灰色聚类的汽车健康状态评估

Automobile Health Status Assessment Based on Gray Clustering

胡龙萍 1徐晓凤2

作者信息

  • 1. 合肥工业大学 管理学院,安徽 合肥230009
  • 2. 过程优化与智能决策教育部重点实验室,安徽 合肥230009
  • 折叠

摘要

Abstract

Based on concept of automobile health management,put forward assessing health status of the automobile in this paper. Auto-mobile health status assessment as an important part of health management has important practical significance. The results of automobile health status assessment can provide vehicle owners with maintenance reminders,vehicle maintenance personnel with initial maintenance decision,which meet the needs of automobile health management. Automobile system is a gray system,in this paper use gray clustering method,which combines the gray theory with clustering methods,on automobile health status assessment. Based on gray clustering theo-ry,the index system of automobile health status assessment is analyzed,then the fuzzy hierarchical analysis method is utilized to determine the index weight,finally the level of automobile health status is estimated by gray clustering method. The result of example shows the model is convenient,scientific and reasonable,and has good practicability.

关键词

健康管理/灰色聚类/评估指标/健康状态评估

Key words

health management/gray clustering/assessment index/health status assessment

分类

信息技术与安全科学

引用本文复制引用

胡龙萍,徐晓凤..基于灰色聚类的汽车健康状态评估[J].计算机技术与发展,2014,(10):216-220,5.

基金项目

国家自然科学基金资助项目(71271073) (71271073)

计算机技术与发展

OACSTPCD

1673-629X

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