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Print 1242 Archive
Publication news
13 May, 2025Joint Article by Professors of Mathematics Department Published In "Annales Mathematicae Silesianae" Journal
13 May, 2025Mathematics Department Professor's Article in "Fractal and Fractional" Journal
28 April, 2025A Joint Article by Professors of the Mathematics Department Published in “Iranian Journal of Science”
28 April, 2025An Article by a Professor of the Mathematics Department Published in “Filomat” Journal
18 March, 2025Mathematics Department Professor's Article Published in "Ural Mathematical Journal"
12 March, 2025Joint Article by Mathematics Department Professors Published in "Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes" Journal
20 February, 2025Mathematics Department Professor's Article Published in "Filomat" Journal
08 January, 2025Mathematics Department Professors' Joint Article Published in "Applicable Analysis and Discrete Mathematics" Journal
05 December, 2024Joint Article by Mathematics Department Professors Published in "Sahand Communications in Mathematical Analysis"
20 November, 2024Book by Head of Political Science and Philosophy Department Published in Persian in Iran

Scientific Article by the Academic Staff of Economics and Management Department Published in “Energies” journal

The scientific article titled “Renewable Energy Transition Task Solution for Oil-Producing Countries Using Scenario-Driven Fuzzy Multiple-Criteria Decision-Making Models: The Case of Azerbaijan”, authored by the academic staff of Economics and Management Department of Khazar University, Prof. Mahammad Nuriyev, Dr. Aziz Nuriyev, and Dr. Jeyhun Mammadov, has been published in the highly esteemed journal “Energies” (Scopus CiteScore 5.5 and Web of Science Impact Factor 3.2).

The objective of this paper is to develop models that allow the selection of the most appropriate scenario for renewable energy transition in an oil- and gas-producing country. The distinguishing feature of the proposed model is that alternatives in the decision matrix are presented as scenarios, composed of a set of energy resources and the level of their use.

https://www.mdpi.com/1996-1073/16/24/8068 

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