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 λε [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. © Springer-Verlag Berlin Heidelberg 2007.
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Wang, H. Y., & Chen, S. M. (2007). A new approach for evaluating students’ answerscripts based on interval-valued fuzzy sets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4570 LNAI, pp. 74–83). Springer Verlag. https://doi.org/10.1007/978-3-540-73325-6_8
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