Abstract
Purposes: to explore the sort problem if student scores discrimination was too low or the arithmetic average was equal. In advance to explore how to test nonparametric analysis by interval fuzzy scores. Procedures: empirical study samples had three groups which each had eight scores and arithmetic average was equal. Methods: to use the fuzzy theory application to create a new model to solve research purposes. Results: the defuzzification value of interval fuzzy scores could solve the problem of research purposes. The key technologies were the new Definition 2.1 of the interval fuzzy scores as (a, b). In advance to calculate three levels defuzzification sort analysis by Definition 2.2. Therefore, results could apply for the sort problem of the same scores or low discrimination. The key technologies could also solve the sort problem of application for admission when 12-year compulsory education is implemented in Taiwan.
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Lai, W., Wu, B. (2014). Overcome the Sort Problem of Low Discrimination by Interval Fuzzy Number. In: Watada, J., Xu, B., Wu, B. (eds) Innovative Management in Information and Production. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4857-0_3
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