基于最大分布约简的风险规则挖掘  

Mining Risk Rules Based on Maximum Distribution Reduction

作　　者：顾沈明[1] 徐妙君[2] 高济[1] 

机构地区：[1]浙江大学人工智能研究所,杭州310027 [2]浙江海洋学院信息学院,浙江舟山316004

出　　处：《计算机工程与应用》2005年第22期202-204,共3页Computer Engineering and Applications

基　　金：国家自然科学基金项目(编号:60373078);浙江省教育厅科研计划项目(编号:20040538)资助

摘　　要：在研究如何更好地开发利用网箱渔场的过程中,人们已经认识到由于污染所引起的环境风险和其他影响因子。但是如何来评估网箱渔场的风险呢?粗糙集理论是一种数据推理的有力工具。该文介绍利用粗糙集理论进行风险规则挖掘的一种方法。首先介绍不完备信息系统下有关最大分布约简的概念,再对渔业环境中老化程度和风险等级进行了量化描述,最后给出了基于最大分布约简的网箱渔场老化风险规则的挖掘算法。For sustainable development of cage culture,the environmental risk and main affecting factors are revealed based on the pollution characteristics.How is the risk in aged cage culture areas evaluated？ Fortunately,Rough Set theory is emerging as a powerful tool for reasoning about data.This paper introduces a method for mining risk rules using Rough Set theory.Firstly,it presents concepts about maximum distribution reduction under incomplete information system.Then it describes the aging degree and risk grade quantitatively according to the standards about fishery environment.Finally,an algorithm for mining risk rules in aged cage culture based on maximum distribution reduction is given.

关 键 词：粗糙集 不完备信息系统 最大分布约简 风险规则 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]