引用本文:易涛,耿志强,徐圆,朱群雄.模糊粗糙集测度的分析分层建模及应急演练控制应用[J].控制理论与应用,2014,31(10):1368~1376.[点击复制]
YI Tao,GENG Zhi-qiang,XU Yuan,ZHU Qun-xiong.Modeling of measures with analytic hierarchy process for fuzzy rough set and its application to emergency drill control[J].Control Theory and Technology,2014,31(10):1368~1376.[点击复制]
模糊粗糙集测度的分析分层建模及应急演练控制应用
Modeling of measures with analytic hierarchy process for fuzzy rough set and its application to emergency drill control
摘要点击 2418  全文点击 840  投稿时间：2013-12-23  修订日期：2014-07-07
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DOI编号  10.7641/CTA.2014.31358
  2014,31(10):1368-1376
中文关键词  模糊粗糙集  分析分层过程法(AHP)  模糊熵  模糊匹配  模糊重要度  应急演练控制
英文关键词  fuzzy rough set  analytic hierarchy process (AHP)  fuzzy entropy  fuzzy matching  fuzzy importance  emergency drill control
基金项目  国家自然科学基金资助项目(61104131); 教育部博士点基金资助项目(20120010110010).
作者单位E-mail
易涛 北京化工大学 信息科学与技术学院 toweryee@163.com 
耿志强 北京化工大学 信息科学与技术学院  
徐圆 北京化工大学 信息科学与技术学院  
朱群雄* 北京化工大学 信息科学与技术学院 zhuqx@mail.buct.edu.cn 
中文摘要
      针对应急救援演练控制的复杂性和难以量化问题, 为实现多人参演系统的有效控制, 基于分析分层过程法 (analytic hierarchy process, AHP), 建立一种模糊粗糙集知识测度的综合建模方法. 首先, 分析模糊粗糙集各类知识测度相关概念、相互联系和各自特点, 通过AHP方法, 建立模糊规则的分层度量模型并给出了对比矩阵的构造示例, 对模糊规则进行更加精细的度量. 其次, 在分析应急演练知识构成的基础上, 提出预案知识提取和模糊关系粗糙集的构建方法; 设计了演练过程控制流程和基于本文知识综合测度方法形成的核心控制流程; 通过对规则重要性排序, 提高规则判别精度, 提供规则选择的手段和一种规则冲突消解方法. 最终, 通过一个简单案例, 验证了本文所提的研究工作的可行性.
英文摘要
      A comprehensive measure method for knowledge is proposed based on the analytic hierarchy process (AHP) to tackle the complexity and difficulty in realizing the emergency drill control and finally achieving the effective control for the system which many people participate in. Based on the analysis of features and relationship between measures of fuzzy rough sets, the AHP is employed to build the hierarchy model of fuzzy rules; and a comparison matrix is constructed as an example to illustrate the improvement of measure precision of fuzzy rules. After that, the control process is designed, and the core control algorithm is developed based on the comprehensive measures. Relevant control rules are concluded from the values of measures; and the algorithm for choosing rules from the rule base is proposed. Finally, an emergency drill case in virtual reality validates the practicability of the presented research work.