• Salimov Vagif Hasan Oglu Ph.D., assoc. prof. of "Computer engineering" department, Azerbaijan state oil and industry university, Baku, Azerbaijan Republic
  • Damirova Javida Rizvan Qizi Ph.D., assoc. prof. of "Control and system engineering" department, Azerbaijan State Oil and Industry University, Baku, Azerbaijan Republic
Keywords: multi-criteria decision making, alternative, criterion, fuzzy, AHP method, pairwise comparison, preference index, aggregation, software


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, the most popular fuzzy AHP method (Analytic Hierarchy Process) is proposed. This method use original algorithm for pairwise comparison of criteria and alternatives. The issues of practical implementation of this method are discussed in details. The results of the solution test problem at all stages are presented.


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.

How to Cite
Salimov Vagif Hasan Oglu, & Damirova Javida Rizvan Qizi. (2021). SOFTWARE SELECTION ON BASE OF FUZZY AHP METHOD. International Academy Journal Web of Scholar, (1(51).