A Fuzzy Multi-Criteria Decision-Making Model Based on F-Entropy and F-MABAC for Assessing Sustainability Strategies
DOI:
https://doi.org/10.65069/jessd1120254Keywords:
Sustainable development, Economic sustainability, Fuzzy MCDM, Sustainability conceptAbstract
Assessing sustainability strategies constitutes a complex decision-making problem that requires the simultaneous consideration of environmental, economic, and social dimensions. This study proposes an integrated fuzzy multi-criteria decision-making (MCDM) model to support sustainability-oriented evaluations under uncertainty. The proposed framework combines the Fuzzy Entropy (F-Entropy) method for determining criteria weights with the Fuzzy MABAC technique for ranking alternatives. By representing expert judgments through linguistic variables, the model effectively captures uncertainty inherent in real-world decision environments. The results indicate that the ninth alternative, Industry, Innovation and Infrastructure, achieves the highest overall performance, whereas the third alternative, Good Health and Well-Being, is ranked last. The findings demonstrate that the proposed approach provides a robust and reliable decision-support tool for assessing sustainability strategies.
References
Soni, A., Chakraborty, S., Das, P. K., & Saha, A. K. (2024). Selection of sustainable construction material from recycled waste plastics by q-rung orthopair fuzzy SWARA-MABAC approach. Chemosphere, 364, 143166. https://doi.org/10.1016/j.chemosphere.2024.143166
Ecer, F., Saha, A., Dinçer, H., & Yüksel, S. (2025). Evaluating energy management investments for sustainable transition of smart cities through a new intuitionistic fuzzy consensus-based CoCoSo methodology. Renewable Energy, 244, 122655. https://doi.org/10.1016/j.renene.2025.122655
Sohani, A., Delfani, F., Chimeh, A. F., Hoseinzadeh, S., & Panchal, H. (2022). A conceptual optimum design for a high-efficiency solar-assisted desalination system based on economic, exergy, energy, and environmental (4E) criteria. Sustainable Energy Technologies and Assessments, 52, 102053. https://doi.org/10.1016/j.seta.2022.102053
Krishankumar, R., Pamucar, D., Deveci, M., Aggarwal, M., & Ravichandran, K. S. (2022). Assessment of renewable energy sources for smart cities’ demand satisfaction using multi-hesitant fuzzy linguistic based choquet integral approach. Renewable Energy, 189, 1428-1442. https://doi.org/10.1016/j.renene.2022.03.081
Asante, D., Ampah, J. D., Afrane, S., Adjei-Darko, P., Asante, B., Fosu, E., ... & Amoh, P. O. (2022). Prioritizing strategies to eliminate barriers to renewable energy adoption and development in Ghana: A CRITIC-fuzzy TOPSIS approach. Renewable Energy, 195, 47-65. https://doi.org/10.1016/j.renene.2022.06.040
Solangi, Y. A., Longsheng, C., Shah, S. A. A., Alsanad, A., Ahmad, M., Akbar, M. A., Gumaei, A., & Ali, S. (2020). Analyzing Renewable Energy Sources of a Developing Country for Sustainable Development: An Integrated Fuzzy Based-Decision Methodology. Processes, 8(7), 825. https://doi.org/10.1016/j.seta.2021.101905
Dehghan, H., Pourfayaz, F., & Shahsavari, A. (2022). Multicriteria decision and Geographic Information System-based locational analysis and techno-economic assessment of a hybrid energy system. Renewable Energy, 198, 189-199. https://doi.org/10.1016/j.renene.2022.07.147
Nasrollahi, S., Kazemi, A., Jahangir, M. H., & Aryaee, S. (2023). Selecting suitable wave energy technology for sustainable development, an MCDM approach. Renewable Energy, 202, 756-772. https://doi.org/10.1016/j.renene.2022.11.005
Šarić, J., & Abramović, B. (2025). Using SWARA for the Evaluation Criteria of Connecting Airports with Railway Networks. Systems, 13(6), 428. https://doi.org/10.3390/systems13060428
Amin, I. K., Islam, M. N., Jaman, A., Hasan, M. K., Parvez, S. H., & Shajid, M. S. S. (2023). Analytical hierarchy process and economic analysis for optimal renewable sites in Bangladesh. Environmental Science and Pollution Research, 30(40), 92332-92358. https://doi.org/10.1007/s11356-023-28463-3
Erdoğan, E. M., Yılmaz, H., Topuz, E., & Özkan, M. (2024). Decision making with analytical hierarchy process approach to select feedstock type for bioethanol production: Is 3G more sustainable than others?. Renewable Energy, 236, 121464. https://doi.org/10.1016/j.renene.2024.121464
Tran, N. T. (2024). Application of the multi-criteria analysis method mairca, spotis, comet for the optimisation of sustainable electricity technology development. EUREKA: Physics and Engineering, 1, 180-188. https://doi.org/10.21303/2461-4262.2024.003133
Le, M. T. (2024). Sustainable Evaluation of E-Commerce Companies in Vietnam: A Multi-Criteria Decision-Making Framework Based on MCDM. Mathematics, 12(11), 1681. https://doi.org/10.3390/math12111681
Depczyński, R. (2024). Assessing raw material efficiency and waste management for Sustainable Development: A VIKOR and TOPSIS Multi-Criteria Decision Analysis. Production Engineering Archives, 30. https://doi.org/10.30657/pea.2024.30.50
Medrán, F., Enfedaque, A., & Alberti, M. G. (2024). A sustainability assessment of industrialised housing construction using the MIVES (Modelo Integrado de Valor para una Evaluación Sostenible)-based multicriteria decision-making method. Buildings, 14(9), 2712. https://doi.org/10.3390/buildings14092712
Zhou, H., Tian, G., Zhang, T., Zhang, X., Pham, D. T., Xiu, X., ... & Li, H. (2024). Triangular fuzzy QFD–MCDM combination approach for green building design scheme evaluation. Buildings, 14(2), 520. https://doi.org/10.3390/buildings14020520
Akusta, E., & Cergibozan, R. (2024). Assessment and prioritization of renewable energy alternatives to achieve sustainable development goals in Türkiye: Based on fuzzy AHP approach. International Journal of Energy Studies, 9(4), 809-847. https://doi.org/10.58559/ijes.1494256
Al-Awadhi, T., Al Ramimi, W., Al Jabri, K., & Abulibdeh, A. (2025). Solar farms suitability analysis using GIS-Based Analytic Hierarchy Process (AHP) multi-criteria: A case study of Al Duqm–Oman. Renewable Energy, 241, 122295. https://doi.org/10.1016/j.renene.2024.122295
ur Rehman, U. (2025). Evaluation and Assessment of Clean Energy Technologies: A Bipolar Fuzzy BWM-EDAS Method for Sustainable Solution. Renewable Energy, 123592. https://doi.org/10.1016/j.renene.2025.123592
Tatar, V., Ayvaz, B., & Pamucar, D. (2025). Analysis of renewable energy investments in China's BRI middle corridor using spherical fuzzy decision-making framework. Renewable Energy, 244, 122631. https://doi.org/10.1016/j.renene.2025.122631
Kaur, S., Kumar, R., & Singh, K. (2025). Sustainable Component-Level Prioritization of PV Panels, Batteries, and Converters for Solar Technologies in Hybrid Renewable Energy Systems Using Objective-Weighted MCDM Models. Energies, 18(20), 5410. https://doi.org/10.3390/en18205410
Türk, A., Duymaz, Ş., Güneri, B., Gökbayrak, O., Bilgen, M. K., & Baldıran, S. (2025). Determining the Optimal Selection Criteria for Unmanned Surface Vehicles in Port Security Using Fuzzy AHP and the Best-Worst Method. Knowledge and Decision Systems with Applications, 1, 215-233. https://doi.org/10.59543/kadsa.v1i.15231
Ouria, M., Correia, A. F., Moura, P., Coimbra, P., & de Almeida, A. T. (2025). MCDM Optimization-Based Development of a Plus-Energy Microgrid Architecture for University Buildings and Smart Parking. Energies, 18(14), 3641. https://doi.org/10.3390/en18143641
Rodrik, D. (2008). One economics, many recipes: globalization, institutions, and economic growth. Princeton University Press. https://doi.org/10.1515/9781400829354
Feng, Y., Lagakos, D., & Rauch, J. E. (2024). Unemployment and development. The Economic Journal, 134(658), 614-647. https://doi.org/10.1093/ej/uead076
Panizza, U. (2002). Income inequality and economic growth: Evidence from American data. Journal of Economic Growth, 7(1), 25-41. https://doi.org/10.1023/A:1013414509803
Polacko, M. (2021). Causes and consequences of income inequality–an overview. Statistics, Politics and Policy, 12(2), 341-357. https://doi.org/10.1515/spp-2021-0017
Hidalgo, C. A. (2021). Economic complexity theory and applications. Nature Reviews Physics, 3(2), 92-113. https://doi.org/10.1038/s42254-020-00275-1
World Bank. (2025). World Development Indicators. World Bank.
Simoes, A. J. G., & Hidalgo, C. A. (2011). The Economic Complexity Observatory: An Analytical Tool for Understanding the Dynamics of Economic Development. In Scalable Integration of Analytics and Visualization. https://cdn.aaai.org/ocs/ws/ws0763/3948-16759-1-PB.pdf
UNU-WIDER. (2025). World Income Inequality Database (WIID) (Version 29 April 2025). https://doi.org/10.35188/UNU-WIDER/WIID-290425
Hausmann, R., Hidalgo, C. A., Bustos, S., Coscia, M., & Simoes, A. (2014). The atlas of economic complexity: Mapping paths to prosperity. MIT Press. https://doi.org/10.7551/mitpress/9647.001.0001
North, D. C. (2003). The role of institutions in economic development. United Nations. https://doi.org/10.1016/j.jmacro.2024.103603
Acemoglu, D., Johnson, S., & Robinson, J. A. (2001). The colonial origins of comparative development: An empirical investigation. American Economic Review, 91(5), 1369-1401. https://doi.org/10.1257/aer.91.5.1369
Li, S., & Ma, Y. (2014). Urbanization, economic development and environmental change. Sustainability, 6(8), 5143-5161. https://doi.org/10.3390/su6085143
Laroche, M., Mérette, M., & Ruggeri, G. C. (1999). On the concept and dimensions of human capital in a knowledge-based economy context. Canadian Public Policy / Analyse de Politiques, 87-100. https://doi.org/10.2307/3551403
Bloom, D. E., & Canning, D. (2008). Population health and economic growth. Commission on Growth and Development Working Paper, 24. https://documents1.worldbank.org/curated/en/599491468151504321/pdf/475880NWP0REPL101PUBLIC10gcwp024web.pdf
World Health Organization. (2019). Health system transformation in the Islamic Republic of Iran: An assessment of key health financing and governance issues. World Health Organization. https://iris.who.int/server/api/core/bitstreams/7a5d850e-a278-46ad-a697-52db7a88402a/content
Feenstra, R. C., Inklaar, R., & Timmer, M. P. (2015). The next generation of the Penn World Table. American Economic Review, 105(10), 3150-3182. https://doi.org/10.1257/aer.20130954
Ozturk, I., & Acaravci, A. (2010). CO2 emissions, energy consumption and economic growth in Turkey. Renewable and Sustainable Energy Reviews, 14(9), 3220-3225. https://doi.org/10.1016/j.rser.2010.07.005
Sebri, M., & Ben-Salha, O. (2014). On the causal dynamics between economic growth, renewable energy consumption, CO2 emissions and trade openness: Fresh evidence from BRICS countries. Renewable and Sustainable Energy Reviews, 39, 14-23. https://doi.org/10.1016/j.rser.2014.07.033
Stern, D. I. (1997). The capital theory approach to sustainability: a critical appraisal. Journal of Economic Issues, 31(1), 145-174. https://doi.org/10.1080/00213624.1997.11505895
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., ... & Snyder, P. K. (2005). Global consequences of land use. Science, 309(5734), 570-574. https://doi.org/10.1126/science.1111772
Hosonuma, N., Herold, M., De Sy, V., De Fries, R. S., Brockhaus, M., Verchot, L., ... & Romijn, E. (2012). An assessment of deforestation and forest degradation drivers in developing countries. Environmental Research Letters, 7(4), 044009. https://doi.org/10.1088/1748-9326/7/4/044009
Almusaed, A., Yitmen, I., Myhren, J. A., & Almssad, A. (2024). Assessing the impact of recycled building materials on environmental sustainability and energy efficiency: a comprehensive framework for reducing greenhouse gas emissions. Buildings, 14(6), 1566. https://doi.org/10.3390/buildings14061566
Gabisa, E. W., Ratanatamskul, C., & Gheewala, S. H. (2023). Recycling of plastics as a strategy to reduce life cycle GHG emission, microplastics and resource depletion. Sustainability, 15(15), 11529. https://doi.org/10.3390/su151511529
OECD. (2025). Waste - Municipal waste: generation and treatment [Dataset]. https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinalDMZ&df[id]=DSD_MUNW%40DF_MUNW&df[ag]=OECD.ENV.EPI&dq=.A.MUNICIPAL.T&pd=2015%2C&to[TIME_PERIOD]=false
Ministry of Agriculture and Forestry, General Directorate of Forestry. (2021). Forest Statistics 2020. https://www.ogm.gov.tr/ekutuphane/Pages/Statistics.aspx
Çakır, S. (2015). Bütünleşik bulanık Shannon Entropi-bulanık Veri Zarflama Analizi yöntemiyle teknoloji firmalarında etkinlik ölçümü [Unpublished doctoral dissertation]. Karadeniz Teknik Üniversitesi, Sosyal Bilimler Enstitüsü.
Gazel, Y. H., Altınırmak, S., & Karamaşa, Ç. (2021). Türkiye’de faaliyet gösteren ticari bankaların çok kriterli karar verme yöntemlerine göre performanslarının sıralanması. Sosyoekonomi, 29(48), 161-180. https://doi.org/10.17233/sosyoekonomi.2021.02.09
Yılmaz, Ö., & Yakut, E. (2022). Bulanık Shannon Entropi Ağırlıklı Bulanik Topsis ve Bulanik Vikor Yöntemleri İle Finansal Performans Değerlendirmesi. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 20(4), 307-330. https://doi.org/10.18026/cbayarsos.1115221
Pamučar, D., & Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42(6), 3016-3028. https://doi.org/10.1016/j.eswa.2014.11.057
Naz, S., Shafiq, A., Butt, S. A., Espitia, G. P., Pamucar, D., & Ijaz, R. (2025). Evaluating blockchain software system for secure transactions using a novel 2-tuple linguistic q-rung picture fuzzy MABAC framework. Expert Systems with Applications, 268, 126162. https://doi.org/10.1016/j.eswa.2024.126162
Torkayesh, A. E., Tirkolaee, E. B., Bahrini, A., Pamucar, D., & Khakbaz, A. (2023). A systematic literature review of MABAC method and applications: An outlook for sustainability and circularity. Informatica, 34(2), 415-448. https://doi.org/10.15388/23-INFOR511
Üçler, Y. T. (2024). Comparison of G-7 countries' macroeconomic performance with SD and MABAC methods. Politik Ekonomik Kuram, 8(1), 243-255. https://doi.org/10.30586/pek.1411404
Orhan, M., & Mutlu, H. T. (2021). Ülkelerin Covid-19 Pandemisine Karşı Mücadelesinin CRITIC Tabanlı MABAC Yöntemiyle Değerlendirilmesi. Nicel Bilimler Dergisi, 3(2), 173-189. https://doi.org/10.51541/nicel.1034426
Božanić, D., Kočić, J., & Tešić, D. (2018). Selecting location for construction of single-span Bailey Bridge by applying fuzzy MABAC method. In Proceedings of The 2nd International Conference on Management, Engineering and Environment (pp. 407-416).
Bozanic, D., Tešić, D., & Kočić, J. (2019). Multi-criteria FUCOM–Fuzzy MABAC model for the selection of location for construction of single-span bailey bridge. Decision Making: Applications in Management and Engineering, 2(1), 132-146. https://doi.org/10.31181/dmame1901132b
World Commission on Environment and Development. (1987). Our common future.
United Nations General Assembly. (2015). Transforming our world: the 2030 Agenda for Sustainable Development.
Hanushek, E. A. (2005). Why quality matters in education. Finance & Development, 42(2), 15-19.
Dugarova, E. (2018). Gender equality as an accelerator for achieving the Sustainable Development Goals. UN Women.
All site content, except where otherwise noted, is licensed under the 