SELECTION OF SOFTWARE ON BASE OF FUZZY TOPSIS METHOD

Salimov Vagif Hasan Oglu

doi:10.31435/rsglobal_ws/30042022/7799

Salimov Vagif Hasan Oglu assoc. prof. of "Computer engineering" department, Azerbaijan state oil and industry university, Azerbaijan Republic https://orcid.org/0000-0002-0590-5437

DOI: https://doi.org/10.31435/rsglobal_ws/30042022/7799

Keywords: multi-criteria decision making, alternative, criterion, fuzzy, TOPSIS method, ideal solution, distance to ideal solution, software.

Abstract

The article is devoted to the problem of multi-criteria decision making. As application problem is used the software selection problem. The analysis of existing methods for solving this problem is given. As a method for solving this problem fuzzy TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) is proposed. This method is based on ideal solution approach. The issues of practical implementation of this method are discussed in details. The results of the solution test problem at all stages are presented.

References

Hwang, CL Yoon, K. Multiple Attribute Decision Making: Methods and Applications. New York: Springer- Verlag, 1981.

V. Belton and T. Stewart, Multiple criteria decision analysis: an integrated approach. Springer Science & Business Media, 2002.

A. Mardani, A. Jusoh, Khalil MD Nor, Z. Khalifah, N. Zakwan, A. Valipour Multiple criteria decision-making techniques and their applications - a review of the literature from 2000 to 2014, ISSN: 1331-677X (Print), 2015.

Chakraborty, S., & Zavadskas, EK Applications of WASPAS method in manufacturing decision making. Informatica, 25 (1), 1-20, 2014.

Boucher, TO, & MacStravic, E. L. Multi attribute evaluation within a present value framework and its relation to the analytic hierarchy process. The Engineering Economist, 37 (1), 1-32, 1991.

Taha, RA, & Daim, T. Multi-criteria applications in renewable energy analysis, a literature review. In Research and Technology Management in the Electricity Industry (pp. 17-30). Springer London, 2013.

Wu, HY, Chen, JK, Chen, IS, & Zhuo, HH Ranking universities based on performance evaluation by a hybrid MCDM model. Measurement, 45 (5), 856-880., 2012.

Beccali, M., Cellura, M., & Ardente, D. Decision making in energy planning: the ELECTRE multicriteria analysis approach compared to a fuzzy-sets methodology. Energy Conversion and Management, 39 (16-18), 1869-1881, 1998.

Rogers, M., & Bruen, M. Using ELECTRE III to choose route for Dublin port motorway. Journal of Transportation Engineering, 126 (4), 313-323, 2002.

Srdjevic, B., & Medeiros, YDP Fuzzy AHP assessment of water management plans. Water Resources Management, 22 (7), 877-894, 2008.

Meixner, O. Fuzzy AHP group decision analysis and its application for the evaluation of energy sources. In Proceedings of the 10th International Symposium on the Analytic Hierarchy / Network Process, Pittsburgh, PA, USA (Vol. 29), 2009.

Srichet ta, P., Thurachon Applying fuzzy analytic hierarchy process to evaluate and select product of notebook computers. International Journal of Modeling and Optimization, 2 (2), 168, 2012.

Azadeh A. A robust decision-making methodology for evaluation and selection of simulation software package / A. Azadeh, SN Shirkouhi, K. Rezaie // International Journal of Advanced Manufacturing Technology. - 2010. - Vol. 47. - P. 381–393.

Karaarslan N. An application for modular capability-based ERP software selection using AHP method / N. Karaarslan, E. Gundogar // International Journal of Advanced Manufacturing Technology. – 2009. - Vol. 42. - P. 1025-1033.

Smirlis YG Data envelopment analysis models to support the selection of vehicle routing software for city logistics operations / YG Smirlis, V. Zeimpekis, G. Kaimakamis // Operational Research. 2012. –Vol. 12. - P. 399-420.