Paper Info
Title
Application of the Grey System Theory to Assessment with Approximate Data
Abstract
The Grey System theory introduced by Deng in 1982 has been nowadays proved to be an effective tool for studying systems with “poor” information data (uncertain, incomplete, etc.) In the present research Grey Numbers are used as tools for evaluating a system's mean performance when utilizing qualitative grades and not numerical scores for this purpose. Although this new assessment method is proved to be equivalent with an analogous method using Triangular Fuzzy Numbers as tools developed in an earlier work, it reduces the required computational burden, since it requires the calculation of two components only (instead of three in the case of the Triangular Fuzzy Numbers) for obtaining the mean value of the Grey Numbers involved. Examples are also presented on student and athlete assessment illustrating the new method and showing that a system's quality performance, calculated by the traditional GPA index, may lead to different assessment conclusions.
Year
DOI
Venue
2018
10.1109/ICCTA45985.2018.9499191
2018 28th International Conference on Computer Theory and Applications (ICCTA)
Keywords
DocType
ISBN
Fuzzy sets,defuzzification,triangular fuzzy numbers (TFNs),grey system (GS),grey numbers (GNs)
Conference
978-1-5386-9240-0
Citations 
PageRank 
References 
0
0.34
0
Authors
1
Name
Order
Citations
PageRank
Michael Gr. Voskoglou100.34