• 论文 •

基于粒计算的正态粒集下的格贴近度

1. 1. 河南师范大学计算机与信息工程学院, 河南 新乡 453007;
2. 解放军信息工程大学, 河南 郑州 450002
• 收稿日期:2014-06-02 修回日期:2014-07-08 发布日期:2014-09-24
• 作者简介:马媛媛（1981-），女，讲师，研究方向为数据挖掘、粒计算.E-mail：hnxxmyy@sina.com
• 基金资助:
国家自然科学基金资助项目（61040037，60873104，U1204609）；河南省科技厅科技攻关重点项目（112100210194）；河南省教育厅科学技术研究重点项目（13A520223，13B520087）；河南师范大学青年基金（2012QK21）；河南省教育厅教改项目

Normal distribution of lattice close-degree based on granular computing

MA Yuan-yuan1, MENG Hui-li1, XU Jiu-cheng1, ZHU Ma2

1. 1. Henan Normal University, Xinxiang 453007, Henan, China;
2. The PLA Information Engineering University, Zhengzhou 450002, Henan, China
• Received:2014-06-02 Revised:2014-07-08 Published:2014-09-24

Abstract: Through the traditional fuzzy close-degree's axiomatic definition is transformed, it makes the close-degree based on the granular computing. The close-degree can reflect the similarity between the two grain sets. By the analysis of practical problems, it is given based on granular computing satisfy normal distribution of a lattice close-degree function and its related theorems and proofs. It convenient practical problem analysis and processing.

• TP18
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