English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 110097/141043 (78%)
Visitors : 46424115      Online Users : 493
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version
    政大機構典藏 > 教育學院 > 教育學系 > 期刊論文 >  Item 140.119/73979


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/73979


    Title: Artificial Intelligence Approach to Evaluate Students` Answerscripts Based on the Similarity Measure between Vague Sets
    Authors: Wang, Hui-Yu;Chen, Shyi-Ming
    Contributors: 教育學系
    Keywords: Similarity functions;Students’ answerscripts;Vague grade sheets;Vague membership values;Vague sets;Index of optimism
    Date: 2007
    Issue Date: 2015-03-24 16:33:57 (UTC+8)
    Abstract: In this paper, we present two new methods for evaluating students` answerscripts based on the similarity measure between vague sets. The vague marks awarded to the answers in the students` answerscripts are represented by vague sets, where each element u[subscript i] in the universe of discourse U belonging to a vague set is represented by a vague value. The grade of membership of u[subscript i] in the vague set A is bounded by a subinterval [t[subscript A](u[subscript i]), 1 - f[subscript A] (u[subscript i])] of [0, 1]. It indicates that the exact grade of membership [mu][subscript A](u[subscript i]) of u[subscript i] belonging the vague set A is bounded by t[subscript A](u[subscript i]) [less than or equal to] [mu][subscript A](u[subscript i]) [less than or equal to] 1 - f[subscript A](u[subscript i]), where t[subscript A](u[subscript i]) is a lower bound of the grade of membership of u[subscript i] derived from the evidence for u[subscript i], f[subscript A](u[subscript i]) is a lower bound of the negation of u[subscript i] derived from the evidence against u[subscript i], t[subscript A](u[subscript i]) + f[subscript A](u[subscript i]) [less than or equal to] 1, and u[subscript i][is an element of] U. An index of optimism [lambda] determined by the evaluator is used to indicate the degree of optimism of the evaluator, where [lambda] [is an element of] [0, 1]. Because the proposed methods use vague sets to evaluate students` answerscripts rather than fuzzy sets, they can evaluate students` answerscripts in a more flexible and more intelligent manner. Especially, they are particularly useful when the assessment involves subjective evaluation. The proposed methods can evaluate students` answerscripts more stable than Biswas`s methods (1995). (Contains 10 tables and 3 figures.)
    Relation: Educational Technology & Society, 10(4), 224-241
    Data Type: article
    Appears in Collections:[教育學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    ArtificialIntelligence.pdf391KbAdobe PDF2559View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback