A Decision Support System Using Text Mining Based Grey Relational Method for the Evaluation of Written Exams
| Autor: | Mehmet Erkan Yuksel, Hüseyin Fidan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Decision support system
Physics and Astronomy (miscellaneous) Java decision support system Computer science General Mathematics 02 engineering and technology text mining Grey relational analysis 020204 information systems 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) grey system theory Cluster analysis computer.programming_language Information retrieval lcsh:Mathematics data mining lcsh:QA1-939 Range (mathematics) classification Chemistry (miscellaneous) grey relational analysis Key (cryptography) 020201 artificial intelligence & image processing Data set (IBM mainframe) measurement and evaluation computer written exams Word (computer architecture) clustering |
| Zdroj: | Symmetry Volume 11 Issue 11 Symmetry, Vol 11, Iss 11, p 1426 (2019) |
| ISSN: | 2073-8994 |
| DOI: | 10.3390/sym11111426 |
| Popis: | Grey relational analysis (GRA) is a part of the Grey system theory (GST). It is appropriate for solving problems with complicated interrelationships between multiple factors/parameters and variables. It solves multiple-criteria decision-making problems by combining the entire range of performance attribute values being considered for every alternative into one single value. Thus, the main problem is reduced to a single-objective decision-making problem. In this study, we developed a decision support system for the evaluation of written exams with the help of GRA using contextual text mining techniques. The answers obtained from the written exam with the participation of 50 students in a computer laboratory and the answer key prepared by the instructor constituted the data set of the study. A symmetrical perspective allows us to perform relational analysis between the students&rsquo answers and the instructor&rsquo s answer key in order to contribute to the measurement and evaluation. Text mining methods and GRA were applied to the data set through the decision support system employing the SQL Server database management system, C#, and Java programming languages. According to the results, we demonstrated that the exam papers are successfully ranked and graded based on the word similarities in the answer key. |
| Databáze: | OpenAIRE |
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