首页> 外文会议>International Atlantic Web Intelligence Conference(AWIC 2004); 20040516-20040519; Cancun; MX >Computing Minimal Probabilistic Rules from Probabilistic Decision Tables: Decision Matrix Approach
【24h】

Computing Minimal Probabilistic Rules from Probabilistic Decision Tables: Decision Matrix Approach

机译:从概率决策表中计算最小概率规则:决策矩阵方法

获取原文
获取原文并翻译 | 示例

摘要

The article presents a method for computing maximally general minimal length probabilistic decision rules from probabilistic decision tables using the idea of decision matrices. The method reduces the problem of rule computation to the problem of identification of prime implicants of a suitably defined Boolean function. The presentation is developed in the context of the variable precision rough set model, which underlies the methodology of probabilistic decision table acquisition from data. A computational example is included to illustrate the application of the method to a real-life problem.
机译:本文提出了一种使用决策矩阵的思想从概率决策表中计算最大通用最小长度概率决策规则的方法。该方法将规则计算的问题简化为识别适当定义的布尔函数的素数蕴涵的问题。该表示是在可变精度粗糙集模型的背景下开发的,该模型是从数据中获取概率决策表的方法的基础。包括一个计算示例,以说明该方法在现实生活中的应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号