基子粒计算的偏序粗集模型研究  

Research of Rough Set Model under Partial Order Relation Based on Granular Computing

作　　者：费颖[1] 王黔英[1] 周辉[1] 袁芳[1] 

机构地区：[1]南昌大学理学院管理科学与工程系,南昌330047

出　　处：《通讯和计算机（中英文版）》2006年第4期30-32,53,共4页Journal of Communication and Computer

基　　金：本文得到江西省自然科学基金（No.Z01416）的资助.

摘　　要：本文依据标准粗糙集理论，结合粒计算思想，将基于等价关系的粗糙集模型扩展到偏序关系下，并进一步利用偏序关系的性质构造了不同分类来探讨上、下近似集，构造了基于粒计算的偏序粗集模型。模型在一定程度上扩充了标准粗集理论的应用范围，有利于人们研究生活中具有偏序关系的问题，文章结合信号传播现象阐述了其现实意义。According to the idea of standard rough set theory and combining with the granular computing, this paper extends the rough set model on equivalence relation to partial order relation, and then uses the properties of partial order relation to make different classifications to represent lower and upper approximation set to make the new model. It expands the rough set theory to a certain degree and helps people to study on phenomena of partial order relation in true-life. This paper discusses the applied significance with the example of signal transmittal.

关 键 词：粒计算 偏序 粗糙集 传播 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]