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A New Approach for Evaluating Students’ Answerscripts Based on Interval-Valued Fuzzy Sets

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New Trends in Applied Artificial Intelligence (IEA/AIE 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4570))

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Abstract

In this paper, we present a new approach for evaluating students’ answerscripts based on the similarity measure between interval-valued fuzzy sets. The marks awarded to the answers in the students’ answerscripts are represented by interval-valued fuzzy sets, where each element in the universe of discourse belonging to an interval-valued fuzzy set is represented by an interval between zero and one. An index of optimism λ determined by the evaluator is used to indicate the degree of optimism of the evaluator, where λ ∈ [0, 1]. The proposed approach using interval-valued fuzzy sets for evaluating students’ answerscripts can evaluate students’ answerscripts in a more flexible and more intelligent manner.

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Authors and Affiliations

  1. Department of Education, National Chengchi University, Taipei, Taiwan, R.O.C.

    Hui-Yu Wang

  2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C.

    Shyi-Ming Chen

Authors
  1. Hui-Yu Wang
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  2. Shyi-Ming Chen
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Hiroshi G. Okuno Moonis Ali

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Wang, HY., Chen, SM. (2007). A New Approach for Evaluating Students’ Answerscripts Based on Interval-Valued Fuzzy Sets. In: Okuno, H.G., Ali, M. (eds) New Trends in Applied Artificial Intelligence. IEA/AIE 2007. Lecture Notes in Computer Science(), vol 4570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73325-6_8

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  • DOI: https://doi.org/10.1007/978-3-540-73325-6_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73322-5

  • Online ISBN: 978-3-540-73325-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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