Paper Info
Title
Interval Valued Intuitionistic Fuzzy Evaluations For Analysis Of A Student'S Knowledge In University E-Learning Courses
Abstract
In the paper a method is proposed for evaluation of the students' knowledge obtained in the university e-learning courses and an evaluation of the whole student class. For the assessment of the student's solution of the respective assessment units the theory of intuitionistic fuzzy sets is used, while for the class evaluation, interval valued intuitionistic fuzzy sets is used. The obtained intuitionistic fuzzy estimations reflect the degree of each student's good or poor performances, for each assessment unit. The interval valued intuitionistic fuzzy evaluations are based on the separate student's evaluations. We also consider a degree of uncertainty that represents such cases wherein the student is currently unable to solve the problem. The method presented here provides the possibility for the algorithmization of the process of forming the student's evaluations.
Year
DOI
Venue
2018
10.5391/IJFIS.2018.18.3.190
INTERNATIONAL JOURNAL OF FUZZY LOGIC AND INTELLIGENT SYSTEMS
Keywords
DocType
Volume
e-learning, Interval valued intuitionistic fuzzy evaluations, Intuitionistic fuzzy evaluation, Model
Journal
18
Issue
ISSN
Citations 
3
1598-2645
1
PageRank 
References 
Authors
0.35
0
6
Name
Order
Citations
PageRank
Tae-Kyun Kim11987129.30
Evdokia Sotirova22111.41
A. G. Shannon310.68
Vassia Atanassova43615.32
Krassimir T. Atanassov536447.07
Lee-Chae Jang67717.18