Research Article

Prioritization of renewable energy resources using intuitionistic fuzzy AHP and VIKOR methods: TR33 region example

Number: 062 September 30, 2025

Prioritization of renewable energy resources using intuitionistic fuzzy AHP and VIKOR methods: TR33 region example

Abstract

Growing economies and the increasing world population increase electricity demand, one of the most important requirements of social and economic life. A large part of electricity generation is provided by fossil fuels, which brings environmental problems. Various initiatives are being taken around the world to overcome ecological problems. The last of these initiatives is the Paris Climate Agreement, in which Türkiye recently became a party. In accordance with this agreement, Türkiye is carrying out studies towards the net-zero carbon target in line with the 2030 interim target and the 2053 final target. Within the scope of studies carried out in the energy field, it aims to reduce carbon emission levels by increasing the installed capacity of renewable energy. The subject of this study is prioritizing renewable energy resources for the TR33 Region covering Manisa, Uşak, Kütahya and Afyonkarahisar provinces. An integrated methodology is used to prioritize energy resources. In this study, the Intuitionistic Fuzzy AHP method was applied to determine criteria weights, after which the Intuitionistic Fuzzy VIKOR method was used to rank the energy alternatives. In the study, five main criteria and 17 sub-criteria related to these main criteria were used, and five renewable energy alternatives were evaluated. The research outcomes reveal that geothermal energy represents the optimal renewable alternative for the region, followed sequentially by biomass, hydroelectric, wind, and solar sources.

Keywords

Supporting Institution

TUBITAK

Project Number

1919B012219210

References

  1. [1] A. Karaaslan and M. Gezen, “The evaluation of renewable energy resources in Turkey by integer multi-objective selection problem with interval coefficient,” Renewable Energy, vol. 182, pp. 842-854, 2022, doi: 10.1016/j.energy.2018.09.165
  2. [2] F. Bilgili, F. Zarali, M.F. Ilgün, C. Dumrul and Y. Dumrul, “The evaluation of renewable energy alternatives for sustainable development in Turkey using intuitionistic fuzzy-TOPSIS method,” Renewable Energy, vol. 189, pp. 1443-1458, 2022, doi: 10.1016/j.renene.2022.03.058
  3. [3] S. Mukhtarov, S. Yüksel and H. Dinçer, “The impact of financial development on renewable energy consumption: Evidence from Turkey,” Renewable Energy, vol. 187, pp. 169-176, 2022, doi: 10.1016/j.renene.2022.01.061
  4. [4] Ö. Alkan and Ö.K. Albayrak, “Ranking of renewable energy sources for regions in Turkey by fuzzy entropy based fuzzy COPRAS and fuzzy MULTIMOORA,” Renewable Energy, vol. 162, pp. 712-726, 2020, doi: 10.1016/j.renene.2020.08.062
  5. [5] Z. Khan, S. Ali, M. Umar, D. Kırıkkaleli and Z. Jiao, “Consumption-based carbon emissions and international trade in G7 countries: The role of Environmental innovation and Renewable energy,” Science of The Total Environment, vol. 730, 138945, 2020, doi: 10.1016/j.scitotenv.2020.138945
  6. [6] G. Yilan, M.A.N. Kadirgan and G.A. Çiftçioğlu, “Analysis of electricity generation options for sustainable energy decision making: The case of Turkey,” Renewable Energy, vol. 146, pp. 519-529, 2020, doi: 10.1016/j.renene.2019.06.164
  7. [7] İ. Topçu, F. Ülengin, Ö. Kabak, M. Işık, B. Unver and S.Ö. Ekici, “The evaluation of electricity generation resources: The case of Turkey,” Energy, vol. 167, pp. 417-427, 2019, doi: 10.1016/j.energy.2018.10.126
  8. [8] K. Atanassov, “Intuitionistic fuzzy sets,” Fuzzy Sets and Systems, vol. 20, pp. 87-96, 1986.

Details

Primary Language

English

Subjects

Renewable Energy Resources , Multiple Criteria Decision Making

Journal Section

Research Article

Publication Date

September 30, 2025

Submission Date

February 9, 2025

Acceptance Date

September 22, 2025

Published in Issue

Year 2025 Number: 062

APA
Yörür, B., Ay, E., Şentürk, N., Orman, H., & İvacık, S. H. (2025). Prioritization of renewable energy resources using intuitionistic fuzzy AHP and VIKOR methods: TR33 region example. Journal of Scientific Reports-A, 062, 182-199. https://doi.org/10.59313/jsr-a.1636465
AMA
1.Yörür B, Ay E, Şentürk N, Orman H, İvacık SH. Prioritization of renewable energy resources using intuitionistic fuzzy AHP and VIKOR methods: TR33 region example. JSR-A. 2025;(062):182-199. doi:10.59313/jsr-a.1636465
Chicago
Yörür, Bahadir, Emir Ay, Nutiye Şentürk, Hilem Orman, and Simge Hilal İvacık. 2025. “Prioritization of Renewable Energy Resources Using Intuitionistic Fuzzy AHP and VIKOR Methods: TR33 Region Example”. Journal of Scientific Reports-A, nos. 062: 182-99. https://doi.org/10.59313/jsr-a.1636465.
EndNote
Yörür B, Ay E, Şentürk N, Orman H, İvacık SH (September 1, 2025) Prioritization of renewable energy resources using intuitionistic fuzzy AHP and VIKOR methods: TR33 region example. Journal of Scientific Reports-A 062 182–199.
IEEE
[1]B. Yörür, E. Ay, N. Şentürk, H. Orman, and S. H. İvacık, “Prioritization of renewable energy resources using intuitionistic fuzzy AHP and VIKOR methods: TR33 region example”, JSR-A, no. 062, pp. 182–199, Sept. 2025, doi: 10.59313/jsr-a.1636465.
ISNAD
Yörür, Bahadir - Ay, Emir - Şentürk, Nutiye - Orman, Hilem - İvacık, Simge Hilal. “Prioritization of Renewable Energy Resources Using Intuitionistic Fuzzy AHP and VIKOR Methods: TR33 Region Example”. Journal of Scientific Reports-A. 062 (September 1, 2025): 182-199. https://doi.org/10.59313/jsr-a.1636465.
JAMA
1.Yörür B, Ay E, Şentürk N, Orman H, İvacık SH. Prioritization of renewable energy resources using intuitionistic fuzzy AHP and VIKOR methods: TR33 region example. JSR-A. 2025;:182–199.
MLA
Yörür, Bahadir, et al. “Prioritization of Renewable Energy Resources Using Intuitionistic Fuzzy AHP and VIKOR Methods: TR33 Region Example”. Journal of Scientific Reports-A, no. 062, Sept. 2025, pp. 182-99, doi:10.59313/jsr-a.1636465.
Vancouver
1.Bahadir Yörür, Emir Ay, Nutiye Şentürk, Hilem Orman, Simge Hilal İvacık. Prioritization of renewable energy resources using intuitionistic fuzzy AHP and VIKOR methods: TR33 region example. JSR-A. 2025 Sep. 1;(062):182-99. doi:10.59313/jsr-a.1636465

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