%0 Journal Article
%T Research on matching problems about fuzzy conceptual graphs with weight in subjective examination<br>主观题中模糊含权概念图匹配问题研究*
%A LIU Pei-qi
%A LI Zeng-zhi
%A <br>刘培奇
%A 李增智
%J 计算机应用研究
%D 2009
%I 
%X Based on the culture foundation of computer science, studied the matching problems of fuzzy conceptual graphs with weight primarily. By analyzing the vital knowledge of the course, designed the conceptual type lattice. According to the thought of semantic distance between concepts in the conceptual type lattice and project matching in traditional conceptual graphs, this paper designed the project matching algorithm based on the semantic distance in fuzzy conceptual graphs with weight, and analyzed time complexity and space complexity of the algorithm. Through the experiment analysis, the correctness of automatically checking of this algorithm is approximately 90%, and the solutions for subjective examination are feasible. The research results of this paper have some referential value for automatically checking over subjective examination of other course and this course of other subjective examination.
%K fuzzy conceptual graphs
%K subjective examination
%K automatic assessment
%K natural language understanding<br>模糊概念图
%K 主观题
%K 自动阅卷
%K 自然语言理解
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=5E703A333BA9AC3BA4B75196ADFF14D8&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=59906B3B2830C2C5&sid=8987E820BFEEDE8C&eid=AA5A56B3CAF44818&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=7