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基于熵的网络学习模糊综合评价方法
引用本文:郑晓薇,于海波.基于熵的网络学习模糊综合评价方法[J].计算机工程与设计,2008,29(23).
作者姓名:郑晓薇  于海波
作者单位:辽宁师范大学,计算机与信息技术学院,辽宁,大连,116029
基金项目:国家自然科学基金项目,辽宁省教育厅科研基金项目
摘    要:在根据网络学习的特点、建立网络学习评价系统指标体系的基础上,提出利用模糊熵理论评价网络学习效果的模型.该模型通过熵权法对各评价指标权重进行修正得到客观权重值,并与主观权重结合计算出综合权重,然后利用模糊理论进行处理得到综合评价值,改善了传统评价方法主观因素影响过多的弊端,提高了评价结果的可信度,并实验验证了该方法的可行性和正确性,确保了网络学习评价公平公正地进行.

关 键 词:网络学习评价  模糊综合评价  多指标综合评价  权重  

Fuzzy comprehensive evaluation method for network learning based on entropy
ZHENG Xiao-wei,YU Hai-bo.Fuzzy comprehensive evaluation method for network learning based on entropy[J].Computer Engineering and Design,2008,29(23).
Authors:ZHENG Xiao-wei  YU Hai-bo
Affiliation:ZHENG Xiao-wei,YU Hai-bo(School of Computer , Information Technology,Liaoning Normal University,Dalian 116029,China)
Abstract:Based on building the based-network learning evaluation index system according to the characteristics of network learning, a most efficient evaluating model on the result of based-network learning by making use of fuzzy entropy theory is brought forward.This model correts the weight of index to get the objective weight by using the method of entropy-weight and combines with the subjective weight.Then it carries on processing and getting the results of compressively evaluating according to fuzzy theory.Compa...
Keywords:evaluation of based-network learning  fuzzy comprehensive evaluation  multi-index comprehensive evaluation  weight  entropy  
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