摘要： 针对目前学位论文自动评价工作缺乏公平性和普适性的问题，构建一个基于专家系统与多级模糊评价机制相结合的学位论文智能评价系统。利用评语模板库和规则库进行知识表示，采用多级模糊评价方法计算中间数据，通过专家系统推理得出论文的最终评语。实验结果表明，在7个学科52个研究方向6 511篇学位论文的自动智能评价中，该系统的有效评价率达96.51%，具有较好的普适性和公正性。
关键词:
学位论文,
智能评价,
多级模糊评价,
知识表示,
专家系统,
推理机
Abstract: Due to the auto evaluation results of thesis paper is not scientific, fair and universal enough currently, this paper builds an intelligent evaluation system combines an expert system with multi-level fuzzy evaluation mechanism. It uses the template and rule library as knowledge representation and also uses the multi-level fuzzy evaluation method to calculate the intermediate data. It draws the final reviews of the paper by the expert system. Experimental result indicates that the success rate of effective evaluation can reach at 96.51% in 6 511 papers in 7 subjects and 52 research directions, and it improves that the system is of universality and impartiality.
Key words:
thesis paper,
intelligent evaluation,
multi-level fuzzy evaluation,
knowledge representation,
expert system,
inference engine
中图分类号:
徐建强, 崔慧洁, 李小平, 梁春绘, 陈思. 一种新型学位论文智能评价系统[J]. 计算机工程, 2013, 39(7): 224-227,232.
XU Jian-Jiang, CUI Hui-Ji, LI Xiao-Beng, LIANG Chun-Gui, CHEN Sai. A New Intelligent Evaluation System for Thesis Paper[J]. Computer Engineering, 2013, 39(7): 224-227,232.