Dr. Dragan Pamučar
Lični podaci:
- Zvanje: Redovni profesor
- Email: dragan.pamucar@fon.bg.ac.rs
- Telefon: 011 3950 829
- Kabinet: 122
- Vreme konsultacija: Ponedeljak 12:15h – 14:15h
- Katedra: Katedra za operaciona istraživanja i statistiku
- Uža naučna oblast: Višekriterijumska optimizacija, Kombinatorna optimizacija, Primenjena operaciona istraživanja, Meko računarstvo, Fuzzy i neuro fuzzy sistemi, Razlomljeno programiranje, Optimizacija.
Obrazovanje
2013., doktor nauka, Univerzitet odbrane u Beogradu2009., magistar tehničkih nauka, Univerzitet u Beogradu-Saobraćajni fakultet
2003., diplomirani inženjer saobraćaja, Univerzitet odbrane u Beogradu
Odabrane reference
Pamucar, D., Gokasar, I., Ebadi Torkayesh, A., Deveci, M., Martinez, L., Wu, Q. (2023). Prioritization of Unmanned Aerial Vehicles in Transportation Systems Using Integrated Stratified Fuzzy Rough Decision-Making Approach under Hamacher Operator, Information Sciences, 622, 374-404. (M21a, IF= 8.233 (16/162), 2021), ISSN 0020-0255. https://doi.org/10.1016/j.ins.2022.11.143Kucuksari, S., Pamucar, D., Deveci, M., Erdogan, N., & Delen, D. (2023). A New Rough Ordinal Priority-based Decision Support System for Purchasing Electric Vehicles. Information Sciences, 119443. (M21a, IF= 8.233 (16/162), 2021), ISSN 0020-0255. https://doi.org/10.1016/j.ins.2023.119443
Yazdani, M., Pamucar, D., Erdmann, A., Toro-Dupouy, L. (2023). Resilient sustainable investment in digital education technology: A stakeholder-centric decision support model under uncertainty. Technological Forecasting and Social Change, 188, 122282. (M21a, IF= 10.884 (1/39), 2020), ISSN 0040-1625, https://doi.org/10.1016/j.techfore.2022.122282.
Pamucar, S., Puška, A., Simić, V., Stojanović, I., Deveci, M. (2023). Selection of Medical Waste Management Treatment Using Fuzzy Rough Numbers and Aczel–Alsina Function. Engineering Applications of Artificial Intelligence, 212, 106025. (M21a, IF= 7.802 (8/65), 2021), ISSN 0952-1976. https://doi.org/10.1016/j.engappai.2023.106025
Görçün, O.F., Pamucar, D., Biswas, S. (2023). The Blockchain Technology Selection in the Logistics Industry using a Novel MCDM Framework based on Fermatean Fuzzy Sets and Dombi Aggregation, Information Sciences, 635, 345-374. (M21a, IF= 8.233 (16/162), 2021), ISSN 0020-0255. https://doi.org/10.1016/j.ins.2023.03.113
Deveci, M., Pamucar, D., Gokasar, I., Köppen, M., Gupta, B.B., Daim, T. (2023). Evaluation of Metaverse traffic safety implementations using fuzzy Einstein based logarithmic methodology of additive weights and TOPSIS method. Technological Forecasting and Social Change, 194, 122681. (M21a, IF= 10.884 (1/39), 2020), ISSN 0040-1625. https://doi.org/10.1016/j.techfore.2023.122681.
Pamucar, D., Deveci, M., Gokasar, I., Delen, D., Köppen, M., Pedrycz, W. (2023). Evaluation of Metaverse Integration Alternatives of Sharing Economy in Transportation Using Fuzzy Schweizer-Sklar Based Ordinal Priority Approach. Decision Support Systems, 113944, (M21, IF= 6.969 (13/87), 2021), ISSN 0167-9236. https://doi.org/10.1016/j.dss.2023.113944
Rani, P., Pamucar, D., Mishra, A.R., Hezam, I.M., Ali, J., Ahammad, S.K.H. (2023). An integrated interval-valued Pythagorean fuzzy WISP approach for Industry 4.0 technology assessment and digital transformation. Annals of Operations Research. (M21, IF= 4.820 (22/87)), ISSN 0254-5330. https://doi.org/10.1007/s10479-023-05355-w
Pamučar, D., Görçün, O.F., Küçükönder, H. (2023). Evaluation of the route selection in international freight transportation by using the CODAS technique based on interval-valued Atanassov intuitionistic sets. Soft Computing, 27, 2325–2345. (M22, IF= 3.643 (48/112)), ISSN 1432-7643. https://doi.org/10.1007/s00500-022-07707-3.
Pamucar, D., Simic, V., Lazarević, D., Dobrodolac, M., Deveci, M. (2022). Prioritization of Sustainable Mobility Sharing Systems Using Integrated Fuzzy DIBR and Fuzzy-Rough EDAS Model, Sustainable Cities and Society, 103910. (M21a, IF= 10.696 (2/68), 2021), ISSN 2210-6707. https://doi.org/10.1016/j.scs.2022.103910
Nagrade i priznanja
Among World’s Top 1% Highly Cited Researchers (Clarivate) – 2022Among World’s Top 2% Scientists 2022 in the field of Artificial Intelligence by Stanford University
Among World’s Top 2% Scientists 2021 in the field of Artificial Intelligence by Stanford University
Učešće na projektima
Pamucar, D. “ Hazard forecasting and early detection of fires in the area of Eastern Serbia – support for the development of forest management plans”, 7S9/0606129, Univeristy of Belgrade 2018-2019.Pamucar D., “Smart Edu-GREEN Centre & Intelligence Farming”, Ministry of Higher Education Malaysia under the Research Excellence Consortium Grant Scheme (KKP) or KPM-Special Grant RMK-10 (JPT(BPKI)1000/016/018/25(54) or KKP Vot. No. K343)/UPSI 2021-0033-106-10. 2023 – 2023.