吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

基于KQI和KPI指标映射的模糊计算方法

吴涛1, 董振亮2, 董励3, 金建国4   

  1. 1. 河北联合大学 现代技术教育中心, 河北 唐山 063009; 2. 河北省教育考试院 信息中心, 石家庄 050003;3. 河北联合大学 迁安学院, 河北 唐山 063009; 4. 河北联合大学 理学院, 河北 唐山 063009
  • 收稿日期:2014-03-28 出版日期:2015-01-26 发布日期:2015-01-19
  • 通讯作者: 吴涛 E-mail:wt@heuu.edu.cn

Fuzzy Calculation Method Based onMapping of KQI and KPI Indexes

WU Tao1, DONG Zhenliang2, DONG Li3, JIN Jianguo4   

  1. 1. Modern Technology Education Center, Hebei United University, Tangshan 063009, Hebei Province, China;2. Information Center, Hebei Province Education Examination Center, Shijiazhuang 050003, China;3. Qian’an College, Hebei United University, Tangshan 063009, Hebei Province, China;
    4. College of Sciences, Hebei United University, Tangshan 063009, Hebei Province, China
  • Received:2014-03-28 Online:2015-01-26 Published:2015-01-19
  • Contact: WU Tao E-mail:wt@heuu.edu.cn

摘要:

针对目前WCDMA网络最优化问题和业务质量评估体系的缺陷, 给出一种基于用户感知和现网反馈的KQIKPI指标模糊计算方法. 该方法通过对应用层业务进行重新分类, 建立不同业务KQI与KPI指标之间的映射关系, 使原来独立的各评估指标形成相互作用的耦合关系, 再通过指标群的模糊计算即可对整个质量评估体系做出客观
的诊断和评判. 计算结果和实际应用表明, 该方法对评估对象具有较好的普适性, 结合设备优化可充分改善现网数据业务的质量, 优化WCDMA数据业务质量评估方法.

关键词: WCDMA, 数据业务, 质量评估, 模糊关系, KPI指标, KQI指标

Abstract:

A fuzzy calculation method of KQI and KPI indexes based on user perception and present network feedback was given with the aim at the defects on current optimization problem of WCDMA network and existing business quality evaluation system. This method makes a new business classification to the
network application layer, and it makes each original independent evaluation index form an interactive coupling relationship by establishing mapping relation between different business KQI and KPI indexes. Thus an index of fuzzy calculation can objectively diagnose and evaluate the whole quality evaluation system. Calculated result and practical use indicate that this method has a preferable universality to the evaluation object, and it can fully improve the quality condition of present network data business with the equipment optimization, and optimize quality evaluation methods of existing WCDMA data service.

Key words: WCDMA, data service, quality evaluation, fuzzy relation, KPI index, KQI index

中图分类号: 

  • TP18