首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种基于粗糙集和粒子群优化算法的权重确定方法
引用本文:杨晓燕,林琳.一种基于粗糙集和粒子群优化算法的权重确定方法[J].闽江学院学报,2010,31(5):74-78,135.
作者姓名:杨晓燕  林琳
作者单位:1. 闽江学院计算机科学系,福建,福州,350108
2. 闽江学院教科所,福建,福州,350108
摘    要:为了克服基本粗糙集理论确定权重的不足,提出一种新的基于粗糙集和粒子群优化算法的权重确定方法.该方法先利用粗糙集和粒子群优化算法对决策表进行属性约简,对约简后的决策表再用粗糙集方法计算属性权重.运用该算法对教师职业倦怠与压力数据进行分析,得到影响教师职业倦怠的各种压力因子的权重.研究结果表明,基于粗糙集和粒子群优化算法可以对决策表的权重进行有效的分析.

关 键 词:权重  粗糙集  粒子群优化算法  属性约简

A Method to determine weights based on rough set theory and particle swarm optimization algorithms
YANG Xiao-yan,LIN Lin.A Method to determine weights based on rough set theory and particle swarm optimization algorithms[J].Journal of Minjiang University,2010,31(5):74-78,135.
Authors:YANG Xiao-yan  LIN Lin
Institution:1. Department of Computer Science,Minjiang University,Fuzhou,Fujian 350108,China; 2. Department of Education Science,Minjiang University,Fuzhou,Fujian 350108,China)
Abstract:In order to overcome the shortcomings of the existing methods of determing weights based on the basic rough set theory,a new method based on rough set theory and particle swarm optimization algorithms is proposed. The rough set theory and particle swarm optimization algorithms is used for calculating the minimum attribute reduction of the decision table. Then the rough set theory is used for determing the weights for the reducted decision table. The algorithm is applied to got the weights of the stress factors that influence job burnout among teachers. Experiments show the proposed algorithm is an effective method of analyzing weights of the decision table.
Keywords:weight  rough set  particle swarm optimization  attribute reduction
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号