A Fuzzy-Based Document Classification and Retrieval Method and System

碩士 === 東海大學 === 工業工程與經營資訊學系 === 93 === In the past, documents classification relied on manual processing. Now, as the variety of electronic documents, the use of computer and broadband network are popularized. The changes have evolved the types of documents from paper to digital formats, and the qua...

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Bibliographic Details
Main Authors: Ya-Ting Hsu, 許雅婷
Other Authors: Chyuan Perng
Format: Others
Language:en_US
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/23129738995509990954
Description
Summary:碩士 === 東海大學 === 工業工程與經營資訊學系 === 93 === In the past, documents classification relied on manual processing. Now, as the variety of electronic documents, the use of computer and broadband network are popularized. The changes have evolved the types of documents from paper to digital formats, and the quantities of documents are tens of thousands times more than in the past. The work of documents classification and retrieval require enormous amount of manpower and time. In response to such change, using computer for documents classification is an important trend today. In order to solve problem of classifying and retrieving the document more efficiently, a well-constructed classifying and retrieving document prototype system with well-organized knowledge modeling method is needed. Therefore, the aims of this study are applying the appropriate knowledge models of R&D processes, and proposing integrated modeling methodology for R&D document management in accordance with the significant knowledge of CNT-FED R&D’s process. Finally, developing a document classification and retrieval prototype system, as well as testifying the usability of the developed system. With the proposed methodology and system, information generated from product research can be thoroughly organized and knowledge cumulated from the process of product development can be systematically managed.