English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 61881/94642 (65%)
造訪人次 : 1638136      線上人數 : 19
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/4411

    題名: Mapping knowledge to rules for scheduling expert systems
    作者: 劉艾華;Liou, Ay-hwa Andy;Wu, Ming-tser
    貢獻者: 淡江大學資訊管理學系
    日期: 1996
    上傳時間: 2009-03-19 13:34:25 (UTC+8)
    出版者: Kidlington: Pergamon Press
    摘要: Although the theoretical framework of expert systems has been well established, the process of developing a non-trivial expert system is still considered a difficult task. The main reason for this is that the nature of expert systems is knowledge-intensive. Also, it is usually difficult for domain experts to explain or communicate their expertise to the system professionals. Many methodologies have been proposed to overcome this domain knowledge representation problem. Most of them require the assistance of an expert system shell (tool). However, with a purpose of helping the system development in mind, most of them were not satisfactory. This research takes the experience of implementing a course scheduling expert system, and suggests two analysis methods to describe the characteristics of course scheduling knowledge. It is shown that these methods provide assistance on clarifying the complicated scheduling problem. Another favorable advantage of this method is its capability helping the transferring of domain knowledge to rules in the knowledge base.
    關聯: Expert systems with Applications 10(3-4), pp.341-350
    DOI: 10.1016/0957-4174(96)00012-7
    顯示於類別:[資訊管理學系暨研究所] 期刊論文


    檔案 描述 大小格式瀏覽次數
    0957-4174_10(3-4)p341-350.pdf827KbAdobe PDF404檢視/開啟
    Mapping knowledge to rules for scheduling expert systems.pdf827KbAdobe PDF1檢視/開啟



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋