„APPLICATION OF FUZZY LOGIC IN THE ANALYSIS OF SUSTAINABLE DEVELOPMENT INDICATORS“

Одрживи развој : вектор Србије ка будућности (2024), str. 231-246

АУТОР(И) / AUTHOR(S): Ivan Novković , Velimir Šećerov , Dejan Filipović

Download Full Pdf   

DOI: 10.46793/82154-04-4.231N

САЖЕТАК /ABSTRACT:

Sustainable development is one of the most important goals of societies worldwide, where sustainable development indicators provide insight into its implementation. By analyzing the sustainable development indicators, it is possible to compare the respective territorial units, in terms of the level of sustainable development achieved. Fifteen indicators from all three components of sustainable development – economic, social and environmental, were analyzed for 18 local self-government units of Serbia. Based on the values of the analyzed indicators, a ranking of the local self-government units was performed using fuzzy logic so that comparing indicators, their values and the ranking of local self-government units would be as objective and appropriate as possible. The results show that the municipality of Gornji Milanovac was ranked the highest, followed by the municipalities of Negotin and Ub. The municipalities of Trstenik, Tutin and Preševo achieved the lowest scores.

КЉУЧНЕ РЕЧИ / KEYWORDS: 

fuzzy AHP, fuzzy MULTIMOORA, GIS, ranking

ЛИТЕРАТУРА / REFERENCES:

 

  • Ciucu, A.-N., Ioanăș, C., Iordan, M., Delcea, C. (2024). Forecasting Sustainable Development Indicators in Romania: A Study in the European Context. Sustainability, 16, 4534.
  • Jeftić, M., Šećerov, V., Nikolić, T., Dabović, T., Živanović, Z., Djordjević S. D. (2022). The impact of urbanization on rural economy based on sustainable development in Serbia: case study of the Zlatibor District. Fresenius Environmental Bulletin, 31(3), 2862-2870.
  • Protić, B., Šećerov, V., Lukić, B., Jeftić, M. (2019). Towards Resilient Cities in Serbia. In: Leal Filho, W., Trbic, G., Filipovic, D. (eds) Climate Change Adaptation in Eastern Europe. Climate Change Management. Springer, Cham, pp. 1-14.
  • Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8, 338-353.
  • Durlević, U., Novković, I., Carević, I., Valjarević, D., Marjanović, A., Batoćanin, N., Krstić, F., Stojanović, L., Valjarević, A. (2023). Sanitary landfill site selection using GIS-based on a fuzzy multi-criteria evaluation technique: a case study of the City of Kraljevo, Serbia. Environmental Science and Pollution Research, 30, 37961-37980.
  • Kahraman, C., Cebeci, U., Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics Information Management, 16, 382-394.
  • Vadrevu, K.P.; Eaturu, A.; Badarinath, K.V.S. (2009). Fire risk evaluation using multicriteria analysis – A case study. Environmental Monitoring and Assessment, 166, 223-239.
  • Novkovic, I., Markovic, G.B., Lukic, D., Dragicevic, S., Milosevic, M., Djurdjic, S., Samardzic, I., Lezaic, T., Tadic, M. (2021). GIS-Based Forest Fire Susceptibility Zonation with IoT Sensor Network Support, Case Study – Nature Park Golija, Serbia. Sensors, 21, 6520.
  • Božanić, D., Karović, S., Pamučar, D. (2015). Fazifikacija Saaty-jeve skale primenom trouglastog fuzzy broja sa promenljivim inter-valom poverenja. In Proceedings of the XLII Simpozijum o Operacionim Istraživanjima (SYM-OP-IS 2015), Srebrno Jezero, Serbia, pp. 420-424.
  • Yeap, J.A.L., Ignatius, J., Ramayah, T. (2014). Determining consumers most preferred eWOM platform for movie reviews: A fuzzy analytic hierarchy process approach. Computers in Human Behavior, 31, 250-258.
  • Feizizadeh, B., Roodposhti, M.S., Jankowski, P., Blaschke, T. (2014). A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping. Computers & Geosciences, 73, 208-221.
  • Celik, M., Deha Er, I., Ozok, F.A. (2009). Application of fuzzy extended AHP methodology on shipping registry selection: The case of Turkish maritime industry. Expert Systems with Applications, 36, 190-198.
  • Güngöroglu, C. (2017). Determination of forest fire risk with fuzzy analytic hierarchy process and its mapping with the application of GIS: The case of Turkey/Çakırlar. Human and Ecological Risk Assessment, 23, 388-406.
  • Kahraman, C., Cebeci, U., Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics Information Management, 16, 382-394.
  • Novković, I., Dragićević, S., Kostadinov, S., Milinčić, M., Munjas, J. (2023). Primena fuzzy logike i GIS-a u određivanju prioriteta za sprovođenje mera zaštite saobraćajnica od bujičnih poplava. U: Zbornik radova Sedmog naučno-stručnog skupa “Put i životna sredina” (Vrnjačka Banja, Srbija). Srpsko društvo za puteve “Via-vita”, Univerzitet u Beogradu – Građevinski fakultet, pp. 223-230.
  • Republički zavod za statistiku (2023). Popis stanovništva, domaćinstava i stanova 2022. Godine – Knjiga 2: Starost i pol, Podaci po naseljima. Republički zavod za statistiku, Beograd, Srbija, pp. 1-746.
  • Gavrilović, D. (ed.) (2023). Opštine i regioni u Republici Srbiji, 2023. Republički zavod za statistiku, Beograd, Srbija, pp. 1-318.
  • Dragicevic, S., Filipovic, D., Kostadinov, S., Ristic, R., Novkovic, I., Zivkovic, N., Andjelkovic, G., Abolmasov, B., Secerov, V., Djurdjic, S. (2011). Natural Hazard Assessment for Land-use Planning in Serbia. International Journal of Environmental Research, 5(2), 371-380.
  • Filipović, D., Obradović-Arsić, D. (2011). The evaluation of the state of the Sopot municipality environment as a condition for sustainable development of the municipality area. Bulletin of the Serbian Geographical Society, 91(4), 27-41.