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图书自动分类的模型与算法

毕业论文

摘 要
  
 图书自动分类是信息自动处理系统中1个基础研究课题。由于因特网发展成为全球最大的信息源,因特网上中文信息飞速膨胀,越来越多的科技工作者希望从网上和图书馆得到及时的、综合的专业知识与信息,但传统的基于手工分类和主题词索引的检索方式难以满足高质量的检索需求,因此,必须对中文图书进行自动分类.
本文论述了1个图书自动分类模型的设计开发过程。文章通过对图书馆图书分类方式的研究,指出了人工分类的1些不足.然后详细介绍了图书自动分类模型的规划和设计,最终编程实现了该模型。
模型引进了中文信息的模糊表示,利用模糊推理,实现了较为理想的非精确推理。系统界面友好,操作简单,适用于依照《中图法》[第3版]进行分类的图书馆。
关键词:图书自动分类模型;产生式系统;非精确推理;图书分类。
 
Abstract

Automatic books classification is a basic research fielding automatic information processing system . Since Internet turns to be biggest information source in the world . chinese information expands fast on Internet . As the traditional retrieval system based on human classification and keyword indexing is difficult to satisfy the high-quality retrieval request on the net or library while increasingly more science and technology workers expect timely and comprehensive professional knowledge and information , automatic classification of chinese books is in urgency .
The design and development of an automatic library classification model is discusses in the paper .
After analyzing the traditional way that books are classified in the library , the paper points out the shortage , then systematically introduces the design and implementation of the library classification model . The model is designed in Visual C++ 6.0 .
The knowledge of the model is represented in fuzzy productions , and the model’s reasoning is the fuzzy reasoning . The software can be used in the libraries , which adopt “ china library classification(Third Edition)”
 Keywords:Books Automatic Classification Model ;Production System ; Uncertainty Reasoning ; Automatic Books Classification.

注释:不含源代码

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