模糊集IF-THEN规则的蚁群空间聚类分析  

Ant Spatial Clustering Based on Fuzzy IF-THEN Rule

作　　者：陈应显[1] 

机构地区：[1]辽宁工程技术大学资源与环境工程学院,辽宁阜新123000

出　　处：《数学的实践与认识》2011年第19期114-119,共6页Mathematics in Practice and Theory

摘　　要：将蚂蚁的拾起和放下对象的行为表示为模糊集.通过模糊集的IF-THEN规则计算蚂蚁执行任务的激励和反应阈值,得到蚂蚁拾起或放下项目的概率,对蚂蚁的行为做出决策,实现对空间数据的聚类.以矿山实际测量数据为空间数据源,采用基本的蚁群聚类算法和模糊蚁群空间聚类算法分别对其进行聚类.通过对这两种算法的实验结果进行分析比较,证明改进后的算法提高了聚类效果.The behavior of artificial ants （their stimuli for picking up and dropping down items） is expressed flexibly by fuzzy sets. The values of the stimuli and response threshold are calculated by evaluating fuzzy IF-THEN rules. The probabilities for picking up and dropping down item are given by the stimuli and response threshold. These will decide that ants pick up or put down the items and achieve the clustering of spatial data. In the experiment, spatial data source is come from the actual survey data in mine. Basic ant colony clustering algorithm and fuzzy spatial clustering algorithm cluster these data. Through analysis and comparison the experimental results to prove that the fuzzy spatial clustering algorithm enhances the clustering effect.

关 键 词：模糊集 IF—THEN规则 蚁群优化 空间聚类 

分 类 号：O159[理学—数学] TP311.13[理学—基础数学]