Paper Info
Title
Fuzzy unbalanced linguistic variables to enhance the course assessment process
Abstract
This study presents an innovative approach to develop a course specification that considers the effect of the covered topics in a course on the entire program learning outcomes. This study presents a practical methodology enabling instructors to design an efficient course specification based on the national academic accreditation and assessment standards of the Kingdom of Saudi Arabia. Fuzzy linguistic variables are aggregated using the induced unbalanced linguistic ordered weighted average operator.
Year
DOI
Venue
2016
10.1109/SITA.2016.7772303
2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA)
Keywords
Field
DocType
Course Specification,Estimation,Fuzzy Set,NCAAA
Pragmatics,Computer science,Fuzzy logic,Fuzzy set,Operator (computer programming),Accreditation,Artificial intelligence,Linguistics,Weighted arithmetic mean,Machine learning
Conference
ISSN
ISBN
Citations 
2378-2528
978-1-5090-5782-5
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Mohammed Al-Sarem180.84
Bassam Naji Al-Tamimi200.34