Dragan Pamučar
Dragan Pamučar
University of Defence in Belgrade, Department of Logistics
Verified email at va.mod.gov.rs
Cited by
Cited by
The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)
D Pamučar, G Ćirović
Expert systems with applications 42 (6), 3016-3028, 2015
Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia
L Gigović, D Pamučar, D Božanić, S Ljubojević
Renewable energy 103, 501-521, 2017
A new model for determining weight coefficients of criteria in MCDM models: Full consistency method (FUCOM)
D Pamučar, Ž Stević, S Sremac
Symmetry 10 (9), 393, 2018
Modification of the Best–Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers
D Pamučar, I Petrović, G Ćirović
Expert systems with applications 91, 89-106, 2018
Evaluating the performance of suppliers based on using the R'AMATEL-MAIRCA method for green supply chain implementation in electronics industry
K Chatterjee, D Pamucar, EK Zavadskas
Journal of cleaner production 184, 101-129, 2018
Green logistic vehicle routing problem: Routing light delivery vehicles in urban areas using a neuro-fuzzy model
G Ćirović, D Pamučar, D Božanić
Expert Systems with Applications 41 (9), 4245-4258, 2014
Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model
D Pamučar, M Mihajlović, R Obradović, P Atanasković
Expert Systems with Applications 88, 58-80, 2017
Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)
Ž Stević, D Pamučar, A Puška, P Chatterjee
Computers & Industrial Engineering 140, 106231, 2020
Application of GIS-interval rough AHP methodology for flood hazard mapping in urban areas
L Gigović, D Pamučar, Z Bajić, S Drobnjak
Water 9 (6), 360, 2017
A sensitivity analysis in MCDM problems: A statistical approach
M Irik, P Dragan
Decision Making: Applications in Management and Engineering 1 (2), 2018
Novel integrated multi-criteria model for supplier selection: Case study construction company
Ž Stević, D Pamučar, M Vasiljević, G Stojić, S Korica
Symmetry 9 (11), 279, 2017
The combination of expert judgment and GIS-MAIRCA analysis for the selection of sites for ammunition depots
L Gigović, D Pamučar, Z Bajić, M Milićević
Sustainability 8 (4), 372, 2016
Integration of interval rough AHP and interval rough MABAC methods for evaluating university web pages
D Pamučar, Ž Stević, EK Zavadskas
Applied soft computing 67, 141-163, 2018
The selection of wagons for the internal transport of a logistics company: A novel approach based on rough BWM and rough SAW methods
Ž Stević, D Pamučar, E Kazimieras Zavadskas, G Ćirović, O Prentkovskis
Symmetry 9 (11), 264, 2017
GIS-Fuzzy DEMATEL MCDA model for the evaluation of the sites for ecotourism development: A case study of “Dunavski ključ” region, Serbia
L Gigović, D Pamučar, D Lukić, S Marković
Land Use Policy 58, 348-365, 2016
A novel rough WASPAS approach for supplier selection in a company manufacturing PVC carpentry products
G Stojić, Ž Stević, J Antuchevičienė, D Pamučar, M Vasiljević
Information 9 (5), 121, 2018
Decision support model for prioritizing railway level crossings for safety improvements: Application of the adaptive neuro-fuzzy system
G Ćirović, D Pamučar
Expert Systems with Applications 40 (6), 2208-2223, 2013
Green vehicle routing in urban zones–A neuro-fuzzy approach
AD Jovanović, DS Pamučar, S Pejčić-Tarle
Expert systems with applications 41 (7), 3189-3203, 2014
Assessment of third-party logistics provider using multi-criteria decision-making approach based on interval rough numbers
D Pamucar, K Chatterjee, EK Zavadskas
Computers & Industrial Engineering 127, 383-407, 2019
A rough strength relational DEMATEL model for analysing the key success factors of hospital service quality
J Roy, K Adhikary, S Kar, D Pamucar
Decision Making: Applications in Management and Engineering 1 (1), 121-142, 2018
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