Evaluating students’ answerscripts based on interval-valued fuzzy grade sheets

A Historical Account of Types of Fuzzy Sets and Their Relationships

“…In this case, The use of IVFSs leads to improved segmentation or detection of features [11], [30], [31], [32], [59], [109], [136], [162]. For some decision making problems, the use of IVFSs allows to choose a solution when FSs fail to do so [36]. Finally, IVFSs have also been used successfully in web problems [86], pattern recognition [39], medicine [40], etc.…”

A new method for evaluating students' answerscripts based on interval-valued intuitionistic fuzzy sets

“…An index of optimism A determined by an evaluator is used, where A E [0, 1] and an index of uncertainty f3 is calculated denoting the uncertainty of an interval-valued intuitionistic 978-1-4673-1487-9/12/$31.00 ©2012 IEEE fuzzy mark, where f3 E [0, 1]. The proposed method can overcome the drawbacks of the existing methods [3], [5] for students' answerscripts evaluation. The proposed methods can evaluate students' answerscripts in a more flexible and more intelligent manner.…”

“…In this section, we make an experiment to compare the experimental results of proposed method with Biswas's method [3] and Chen and Wang's method [5]. Assume that the optimism index A, of the evaluator is 0.6 (i.e., A, = 0.6).…”

An approach to automatic learning assessment based on the computational theory of perceptions

“…His method is based on fuzzy set theory and similarity functions, where the grade of each response is represented by a fuzzy set. Chen and Lee (1999) report an improvement on Biswas' method and Chen and Wang (Chen & Wang, 2009) modify this method by using interval-valued fuzzy sets to represent the grade of each response. Ma and Zhou (2000) present a method aimed at assessing project-based learning.…”