信阳师范学院学报（自然科学版）Issue(2)：271-274,4.DOI:10.3969/j.issn.1003-0972.2015.02.028
基于距离的粒计算分类算法
Granular Computing Classification Algorithms Based on Distance
摘要
Abstract
The granular computing classification algorithms based on distance were proposed.Firstly, granules were represented as the forms of hyperdiamond, hypersphere and hypercube.Secondly, the union operators were de-signed to realize the transformation between two granule spaces with different granularity.Thirdly, the thresholds of granularity were used to control the union processes.Then the granular computing classification algorithms based on distance were designed.The benchmark datasets in UCI Learning Repository were used to verify the performance of the algorithms, the feasibility of the granular computing classification algorithms was verified by the experimental results.关键词
粒计算/距离/粒度/模糊包含关系Key words
granular computing/distance/granularity/fuzzy inclusion relation分类
信息技术与安全科学引用本文复制引用
陈旭生,刘宏兵,李为华..基于距离的粒计算分类算法[J].信阳师范学院学报（自然科学版）,2015,(2):271-274,4.基金项目
河南省基础与前沿技术研究计划项目（142300410426）；河南省教育厅项目（ITE12155）；信阳师范学院青年基金项目 （）
