非标准化试题的智能评分  

Intelligent Scores of Non-standardized Test

作　　者：陈慈弟[1] 林远明[1] 黄聪[1] 田民格[1] 

机构地区：[1]三明学院数学与计算机科学系,福建三明365004

出　　处：《三明学院学报》2011年第2期7-10,共4页Journal of Sanming University

基　　金：福建省大学生创新性实验项目(ZL0816/CS)

摘　　要：通过对函数S-粗集和动态规划算法的研究,提出了相似度和可信度概念,给出了非标准化试题实现评分的方案和步骤,其中关键步骤是迁移处理和计算最长公共子序列长度。主要阐述了基于函数S-粗集的迁移处理,并分析了计算最长公共子序列长度解的结构和计算方法,最后分别给出了迁移函数和计算最长公共子序列长度函数的源程序。Through the research of function S-Rough sets and dynamic programming algorithm,the concepts of similarity and credibility are presented.The solutions and steps of intelligent scores of non-standardized test are given,and the migration processing and the computer of the length of the longest common subsequence are the key steps.Based on the function S-rough sets,this paper describes the migration processing and then analyzes the solution structure and calculation method to calculate the length of the longest common subsequence.At last,the source of transfer function and computer function of the length of the longest common subsequence are given.

关 键 词：函数S-粗集 动态规划算法 相似度 可信度 评分 

分 类 号：O29[理学—应用数学]