A group decision support approach to evaluating journals
Information and Management
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
An iterative approach for estimation of student performances based on linguistic evaluations
Information Sciences: an International Journal
A fuzzy system for evaluating students' learning achievement
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Evaluating students' answerscripts based on interval-valued fuzzy grade sheets
Expert Systems with Applications: An International Journal
Using a fuzzy classification approach to assess e-commerce Web sites: An empirical investigation
ACM Transactions on Internet Technology (TOIT)
An adaptive neuro-fuzzy model for prediction of student's academic performance
Computers and Industrial Engineering
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
Fuzzy sets in case-based reasoning
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
A fuzzy systems framework for solving real world problems
WSEAS TRANSACTIONS on SYSTEMS
Evaluating students' learning achievement based on fuzzy rules with fuzzy reasoning capability
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Evaluating students' learning achievement based on the eigenvector method
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A fuzzy inference system-based criterion-referenced assessment model
Expert Systems with Applications: An International Journal
Formative assessment using norm-referenced fuzzy evaluations
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
A fuzzy representation of CBR systems
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume I
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
New methods for evaluating the answerscripts of students using fuzzy sets
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
An approach to automatic learning assessment based on the computational theory of perceptions
Expert Systems with Applications: An International Journal
Measurement of analytical knowledge-based corporate memory and its application
Decision Support Systems
Evaluating students' answerscripts based on interval-valued intuitionistic fuzzy sets
Information Sciences: an International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
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Assessment of student learning is an important task in a teaching and learning process. It has a strong influence on students' approaches to learning and their outcomes. Development in tertiary education has shifted its emphasis from teacher-centered learning to student-centered learning. In a student-centered learning environment, criterion-referenced assessment techniques are often used in current education research and practice. However, it sometimes happens that the assessment criteria and their corresponding weights are solely determined by the lecturers in charge. This may reduce the interest of students' participation and lower the quality of their learning. This paper presents an integrated fuzzy set approach to assess the outcomes of student-centered learning. It uses fuzzy set principles to represent the imprecise concepts for subjective judgment and applies a fuzzy set method to determine the assessment criteria and their corresponding weights. Based on the commonly agreed assessment criteria, students' learning outcomes are evaluated on a fuzzy grade scale. The proposed fuzzy set approach incorporates students' opinions into assessment and allows them to have a better understanding on the assessment criteria. It aims at encouraging students to participate in the whole learning process and providing an open and fair environment for assessment