Abstract: According to the characteristics of the virtual learning community，this paper assesses its effectiveness combining the learners’ enthusiasm，knowledge and ability.Since current assessment models mainly deal with the results of online tests，a fuzzy integrative model is set up based on mutual，cooperative and independent learning.According to the index of online learning activities，an independent study evaluation submodel is established.In order to accurately distinguish students and narrow the fuzzy disparity and the distortion caused by the maximum member theory，a more appropriate submodel is here put forward on the basis of online learning activities.It suggests a member quantitative model to further quantify the member vector resulting from the knowledge level and ability assessment submodel，to update the former elementary model.Comparisons and analysis are also made.

Key words: community learning effectiveness, ability assessment, membership vector, classification quantitative

摘要： 基于虚拟学习社区的特点，综合社区学习者学习积极性、知识水平和能力水平三个方面来对学习社区绩效进行评估。针对目前网络学习评价大多仅限于对在线测验成绩进行评价的不足，充分利用综合评判带来的信息，结合社区协作学习和自主学习的特点，建立了一个社区学习绩效模糊综合评价模型。为了解决模型评价结果为隶属向量，模糊度较大和最大隶属原则有可能导致评价结果失真的问题，重点提出并建立隶属等级量化精确模型对评价向量作进一步量化，进一步准确区分学生，并与初等量化方法作了比较分析。

关键词: 社区学习绩效, 能力评价, 隶属度向量, 等级量化