New Methods for Evaluating the Answerscripts of Students Using Fuzzy Sets

  • Hui-Yu Wang
  • Shyi-Ming Chen
Conference paper

DOI: 10.1007/11779568_48

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4031)
Cite this paper as:
Wang HY., Chen SM. (2006) New Methods for Evaluating the Answerscripts of Students Using Fuzzy Sets. In: Ali M., Dapoigny R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science, vol 4031. Springer, Berlin, Heidelberg

Abstract

In this paper, we present new methods for evaluating the answerscripts of students, where the evaluating values are represented by fuzzy numbers, and an optimism index λ determined by the evaluator is used to indicate the degree of optimism of the evaluator for evaluating the answerscripts of students, where the value of λ is between zero and one. The universe of discourse is formed by a set of satisfaction levels. The fuzzy mark awarded to the answer of each question of the answerscript of a student is represented by a type-2 fuzzy set. The proposed methods can overcome the drawbacks of the existing methods. It can evaluate the answerscripts of students in a more flexible and more intelligent manner.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hui-Yu Wang
    • 1
  • Shyi-Ming Chen
    • 2
  1. 1.Department of EducationNational Chengchi UniversityTaipeiTaiwan, R.O.C.
  2. 2.Department of Computer Science and Information EngineeringNational Taiwan University of Science and TechnologyTaipeiTaiwan, R.O.C.

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