An application of fuzzy sets in students' evaluation
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Using fuzzy numbers in educational grading system
Fuzzy Sets and Systems
New methods for students' evaluation using fuzzy sets
Fuzzy Sets and Systems
Fuzzy Mathematical Models in Engineering and Management Science
Fuzzy Mathematical Models in Engineering and Management Science
Student Evaluation in an International Collaborative Project Course
SAINT-W '01 Proceedings of the 2001 Symposium on Applications and the Internet-Workshops (SAINT 2001 Workshops)
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Student peer evaluations using the analytic hierarchy process method
FIE '95 Proceedings of the Frontiers in Education Conference, on 1995. Proceedings., 1995 - Volume 02
Scenario assignments as assessment tools for undergraduateengineering education
IEEE Transactions on Education
Fuzzy set approach to the assessment of student-centered learning
IEEE Transactions on Education
IEEE Transactions on Education
Evaluating students' learning achievement using fuzzy membership functions and fuzzy rules
Expert Systems with Applications: An International Journal
Automatically constructing grade membership functions of fuzzy rules for students' evaluation
Expert Systems with Applications: An International Journal
A new approach for evaluating students' answerscripts based on interval-valued fuzzy sets
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Hi-index | 0.00 |
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.