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    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: http://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

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