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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/76731

Title:	New methods for evaluating the answerscripts of students using fuzzy sets
Authors:	Wang, Hui Yu;Chen, S.-M. 汪慧瑜
Contributors:	教育系
Keywords:	Artificial intelligence;Computational methods;Computer science;Evaluation;Information technology;Students;Fuzzy mark;Fuzzy numbers;Optimism index;Type-2 fuzzy set;Fuzzy sets
Date:	2006
Issue Date:	2015-07-21 15:02:39 (UTC+8)
Abstract:	In this paper, we present new methods for evaluating the answer-scripts of students, where the evaluating values are represented by fuzzy numbers, and an optimism index A. 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. © Springer-Verlag Berlin Heidelberg 2006.
Relation:	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 4031 LNAI, Pages 442-451
Data Type:	conference
Appears in Collections:	[教育學系] 會議論文

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