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The Evaluation of Computer Algebra Systems Using Fuzzy Multi-Criteria Decision-Making Models: Fuzzy AHP and Fuzzy TOPSIS

The Evaluation of Computer Algebra Systems Using Fuzzy Multi-Criteria Decision-Making Models: Fuzzy AHP and Fuzzy TOPSIS

Ilham Huseyinov, Feride Savaroglu Tabak
Copyright: © 2020 |Volume: 8 |Issue: 1 |Pages: 16
ISSN: 2166-7160|EISSN: 2166-7179|EISBN13: 9781799808091|DOI: 10.4018/IJSI.2020010101
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MLA

Huseyinov, Ilham, and Feride Savaroglu Tabak. "The Evaluation of Computer Algebra Systems Using Fuzzy Multi-Criteria Decision-Making Models: Fuzzy AHP and Fuzzy TOPSIS." IJSI vol.8, no.1 2020: pp.1-16. http://doi.org/10.4018/IJSI.2020010101

APA

Huseyinov, I. & Tabak, F. S. (2020). The Evaluation of Computer Algebra Systems Using Fuzzy Multi-Criteria Decision-Making Models: Fuzzy AHP and Fuzzy TOPSIS. International Journal of Software Innovation (IJSI), 8(1), 1-16. http://doi.org/10.4018/IJSI.2020010101

Chicago

Huseyinov, Ilham, and Feride Savaroglu Tabak. "The Evaluation of Computer Algebra Systems Using Fuzzy Multi-Criteria Decision-Making Models: Fuzzy AHP and Fuzzy TOPSIS," International Journal of Software Innovation (IJSI) 8, no.1: 1-16. http://doi.org/10.4018/IJSI.2020010101

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Abstract

The main purpose of this study is to present a systematic methodology based on fuzzy Multi-Criteria Decision-Making (FMCDM) models to help users evaluate computer algebra systems (CAS). CAS is a software package for the manipulation of mathematical formulas. The suggested methodology is user-centred which involves users' subjective evaluation judgments. User judgments are represented by means of fuzzy linguistic modelling techniques. An evaluation criteria framework based on the concept of the usefulness of CAS is developed. Next, two FMCDM models – fuzzy Analytical Hierarchy Process (FAHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) are proposed for the evaluation procedure. The FAHP is applied to determine the relative importance weights of qualitative evaluation criteria; the FTOPSIS is applied to rank the CAS alternatives. The illustrated case study demonstrates the applicability and effectiveness of the proposed methodology.

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