D NUMBERS – FUCOM – FUZZY RAFSI MODEL FOR SELECTING THE GROUP OF CONSTRUCTION MACHINES FOR ENABLING MOBILITY
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Prochorov, S., 2018, Use of modern construction machinery in the construction, MATEC Web of Conferences, 193, ID 04022.
Gaglia, A.G., Tsikaloudaki, A.G., Laskos, C.M., Dialynas, E.N., Argiriou, A.A., 2017, The impact of the energy performance regulations' updated on the construction technology, economics and energy aspects of new residential buildings: The case of Greece, Energy and Buildings, 155, pp. 225-237.
Galvin, R., Sunikka-Blank, M., 2017, Ten questions concerning sustainable domestic thermal retrofit policy research, Building and Environment, 118, pp. 377-388.
Lijewski, P., Merkisz, J., Fuc, P., Kozak, M., Rymaniak, L., 2013, Air pollution by the exhaust emissions from construction machinery under actual operating conditions, Applied Mechanics and Materials, 390, pp. 313–319.
Cao, T., Durbin, T.D., Russell, R.L., Cocker, D.R. III., Scora, G., Maldonado, H., Johnson, K.C., 2016, Evaluations of in-use emission factors from off-road construction equipment, Atmospheric Environment, 147, pp. 234–245
Lewis, P., Rasdorf, W., 2017, Fuel use and pollutant emissions taxonomy for heavy duty diesel construction equipment, Journal of Management in Engineering, 33(2), 04016038.
Smith, S.D., Wood, G.S., Gould, M., 2000, A new earthworks estimating methodology, Construction Management and Economics, 18(2), pp. 219–228.
Bruce, D.M., Hobson, R.N., Morgan, C.L., Child, R.D., 2001, PM—Power and Machinery: Threshability of shatter-resistante seed pods in oilseed rape, Journal of Agricultural Engineering Research, 80(4), pp. 343–350.
Lindgren, M., 2005, A transient fuel consumption model for non-road mobile machinery, Biosystems Engineering, 91(2), pp. 139–147.
Frey, H.C., Rasdorf, W., Kim, K.,Pang, S., Lewis, P., 2008, Comparison of real-world emissions of B20 biodiesel versus petroleum diesel for selected nonroad vehicles and engine tiers, Journal of Transportation Research Board, 2058(1), pp. 33–42.
Ahn, C.R., Lewis, P, Golparvar-Fard, M., Lee, S., 2013, Integrated framework for estimating, benchmarking, and monitoring pollutant emissions of construction operations, Journal of Construction Engineering and Management, 139(12), pp. 1–11.
Ebrahimi, B., Wallbaum, H., Jakobsen, P. D., Booto, G.K., 2020, Regionalized environmental impacts of construction machinery, The International Journal of Life Cycle Assessment, 25, pp. 1472-1485.
Fridstr, L., 2013, Norwegian transport towards the two-degree target: two scenarios, Institute of transport economics, Oslo.
Abbasian-hosseini, S.A., Leming, M.L., Liu, M., 2016, Effects of idle time restrictions on excess pollution from construction equipment, Journal of Management in Engineering, 32(1), 04015046..
Weber, C., Amundsen, A.H., 2016, Emission from vehicles with Euro 6 / VI technology, Results from the measurement program in EMIROAD 2015, Institute of Transport economics, Oslo.
Jovanović, M., 2020, Selection of the optimal group of the groundwork machines, Proceeding of the Faculty of technical Sciences, 35(4), pp. 637-640.
Karabašević, D., Stanujkić, D., Urošević, S., 2015, The MCDM Model for Personnel Selection Based on SWARA and ARAS Methods, Management: Journal for Theory and Practice Management, 20(77), pp. 43-52.
Alencar, L.H, de Almeida, A.T., 2010, A model for selecting project team members using multicriteria group decision making, Pesquisa Operacional, 30(1), pp. 221-236.
Shipley, M.F, Dykman, C.A., de Korvin, A., 1999, Project management: Using fuzzy logic and the Dempster-Shafer theory of evidence to select team members for the project duration, Proc. 18th International Conference of the North American Fuzzy Information Processing Society – NAFIPS, New York, USA, pp. 640-644.
Zolfani, S., Antucheviciene, J., 2012, Team member selecting based on AHP and TOPSIS grey, Engineering Economics, 23(4), pp. 425-434.
Bazsova, B., Evaluation of the Project Management Team Members by Using the MCDM, pp. 151-166, In: Llamas, B. (ed.), 2017, Key Issues for Management of Innovative Projects, IntechOpen, London, UK.
Božanić, D., Pamučar, D., 2014, Making of fuzzy logic system rules base for decision making support by aggregation of weights of rules premises, Tehnika, 69(1), pp. 129-138.
Dadelo, S., Turskis, Z., Zavadskas, E., Dadeliene, R., 2015, Integrated multi-criteria decision making model based on wisdom-of-crowds principle for selection of the group of elite security guards, Archives of Budo, 9(3), pp. 135-147.
Dempster, A.P., 1967, Upper and lower probabilities induced by a multivalued mapping, Annals of Mathematical Statistics, 38, pp. 325–339.
Shafer, G., 1978, A mathematical theory of evidence, Princeton University Press, USA.
Deng, X., Hu, Y., Deng, Y., Mahadevan, S., 2014, Environmental impact assessment based on D numbers, Expert Systems with Applications, 41, pp. 635–643.
Deng, X., Hu, Y., Deng, Y., 2014, Bridge condition assessment using D numbers, The Scientific World Journal, 2014, 358057.
Pribićević, I., Doljanica, S., Momčilović, O., Kumar, Das, D., Pamučar, D., Stević, Ž., 2020, Novel Extension of DEMATEL Method by Trapezoidal Fuzzy Numbers and D Numbers for Management of Decision-Making Processes, Mathematics, 8(5), 812.
Božanić, D., Pamučar, D., Komazec, N., 2020, Risk assessment by applying D numbers, Proc. 6th International scientific conference Safety and Crisis Management - Theory and practise: Safety for the future, Belgrade, Serbia, pp. 218-215.
Salimi, P., Edalatpanah, S.A., 2020, Supplier selection using fuzzy AHP method and D-Numbers, Journal of Fuzzy Extension & Applications, 1(1), pp. 1-14.
Deng, X., Hu, Y., Deng, Y., Mahadevan, S., 2014, Supplier selection using AHP methodology extended by D numbers, Expert Systems with Applications, 41(1), pp. 156-167.
Deng, X., Jiang, W., 2019, Evaluating green supply chain management practices under fuzzy environment: A novel method based on D number theory, International Journal of Fuzzy Systems, 21(5), pp. 1389-1402.
Bian, T., Zheng, H., Yin, L., Deng, Y., 2018, Failure mode and effects analysis based on D numbers and TOPSIS, Quality and Reliability Engineering International, 34, pp. 501-515.
Hristov, N., Pamučar, D., Amine, M.S.M., 2021, Application of a D Number based LBWA Model and an Interval MABAC Model in Selection of an Automatic Cannon for Integration into Combat Vehicles, Defence Science Journal, 71(1), pp. 34-45.
Mohammadi, A., Darestani, S., 2019, Green supplier selection problem using TOPSIS extended by D numbers in tractor manufacturing industry, International Journal of Services and Operations Management, 32(3), pp. 327-338.
Pamučar, D., Stević, Ž., Sremac, S., 2018, A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM), Symmetry, 10, 393.
Badi, I., Kridish, M., 2020, Landfill site selection using a novel FUCOM-CODAS model: A case study in Libya, Scientific African, 9, e00537.
Ahmad, N., Qahmash, A., 2020, Implementing fuzzy AHP and FUCOM to evaluate critical success factors for sustained academic quality assurance and ABET accreditation, PLoS ONE, 15(9), e0239140.
Dobrosavljević, A., Urošević, S., Vuković, M., Talijan, M., Marin, D., 2020, Evaluation of process orientation dimensions in the apparel industrym, Sustainability (Switzerland), 12(10), 4145.
Vesković, S., Stević, Z., Karabašević, D., Rajilić, S., Milinković, S., Stojić, G., 2020, A new integrated fuzzy approach to selecting the best solution for business balance of passenger rail operator: Fuzzy PIPRECIA-fuzzy EDAS model, Symmetry, 12(5), 743.
Milosavljević, M., Jeremić, D., Milinković, S., 2020, Selection of the best location for RFID wagon monitoring device on serbian railways based on FUCOM-TOPSIS method and fuzzy set theory, Proc. 8th International Scientific Siberian Transport Forum, Novosibirsk, Russia, pp. 527-539.
Đalić, I., Stević, Ž., Erceg, Ž., Macura P., Terzić, S., 2020, Selection of a distribution channel using the integrated FUCOM - MARCOS Model,International Review, 3-4, pp. 80-96.
Ong, M.C., Leong, Y.T., Wan, Y.K., Chew, I.M.L., 2021, Multi-objective Optimization of Integrated Water Systemby FUCOM-VIKOR Approach, Process Integration and Optimization for Sustainability, 5, pp. 43–62.
Stević, Ž., Brković, N., 2020, A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company, Logistics, 4(1), 4.
Feizi, F., Karbalaei-Ramezanali, A.A., Farhadi, S., 2021, FUCOM-MOORA and FUCOM-MOOSRA: new MCDM-based knowledge-driven procedures for mineral potential mapping in greenfields, SN Applied Sciences, 3, 358.
Zavadskas, E. K., Nunić, Z., Stjepanović, Ž., Prentkovskis, O., 2018, Novel rough range of value method (R-ROV) for selecting automatically guided vehicles (AGVs), Studies in Informatics and Control, 27(4), pp. 385-394.
Prentkovskis, O., Erceg, Ž., Stević, Ž., Tanackov, I., Vasiljević, M., Gavranović, M., 2018, A new methodology for improving service quality measurement: Delphi-FUCOM-SERVQUAL model, Symmetry, 10(12), 757.
Starčević, S., Bojović, N., Junevičius, R., Skrickij, V., 2019, Analytical hierarchy process method and data envelopment analysis application in terrain vehicle selection, Transport, 34(5), pp. 600-616.
Matić, B., Jovanović, S., Das, D. K., Zavadskas, E. K., Stević, Z., Sremac, S., Marinković, M., 2019, A new hybrid MCDM model: Sustainable supplier selection in a construction company, Symmetry, 11(3), 353.
Ecer, F., 2021, Sustainable supplier selection: FUCOM subjective weighting method based MAIRCA approach, Journal of Economics and Administrative Sciences Faculty, 8(1), pp. 26-47.
Ulutas, A., Karakus, C.B., 2021, Location selection for a textile manufacturing facility with GIS based on hybrid MCDM approach, Industria textila, 72(2), pp. 126-132.
Hoan, P.V., Ha, Y., 2021, ARAS-FUCOM approach for VPAF fighter aircraft selection, Decision Science Letters, 10, pp. 53-62.
Xu, D., Ren, J., Dong, L., Yang, Y., 2020, Portfolio selection of renewable energy-powered desalination systems with sustainability perspective: A novel MADM-based framework under data uncertainties, Journal of Cleaner Production, 275, 124114.
Pamučar, D., Deveci, M., Canıtez, F., Božanić, D., 2020,A fuzzy full consistency method-dombi-bonferroni model for prioritizing transportation demand management measures, Applied Soft Computing Journal, 87, 105952.
Pamučar, D., Ecer, F., 2020, Prioritizing the weights of the evaluation criteria under fuzziness: The fuzzy full consistency method – FUCOM-F, Facta Universitatis Series Mechanical Engineering, 18(3), pp. 419-437.
Tang, C., Xu, D., Chen, N., 2021, Sustainability prioritization of sewage sludge to energy scenarios with hybrid-data consideration: A fuzzy decision-making framework based on full consistency method and fusion ranking model, Environmental Science and Pollution Research, 28(5), pp. 5548-5565.
Yazdani, M., Chatterjee, P., Pamučar, D., Chakraborty, S., 2020, Development of an integrated decision making model for location selection of logistics centers in the spanish autonomous communities, Expert Systems with Applications, 148, 113208.
Cao, Q., Esangbedo, M.O., Bai, S., Esangbedo, C.O., 2019,Grey SWARA-FUCOM weighting method for contractor selection MCDM problem: A case study of floating solar panel energy system installation, Energies, 12(13), 2481.
Ilieva, G., 2020, Fuzzy group full consistency method for weight determination, Cybernetics and Information Technologies, 20(2), pp. 50-58.
Žižović, M., Pamučar, D., Albijanić, M., Chatterjee, P., Pribićević, I., 2020, Eliminating rank reversal problem using a new multi-attribute model - the RAFSI method, Mathematics, 8(6), 1015.
Pamučar, D., Žižović, M., Marinković, D., Doljanica, D., Jovanović, S. V., Brzaković, P., 2020, Development of a multi-criteria model for sustainable reorganization of a healthcare system in an emergency situation caused by the COVID-19 pandemic, Sustainability, 12(18), 7504.
Pamučar, D., Božanić,, D., Milić, A., 2016, Selection of a course of action by Obstacle Employment Group based on a fuzzy logic system, Yugoslav Journal of Operations Research, 2016, 26(1), pp. 75-90.
Hristov, S., 1978, Organization of engineering works, Military Paper Office, Belgrade, Serbia.
Božilović-Ristoska, J., 2006, Research on the exploatation reliability of the machines in construction industry, Tehnička dijagnostika, 5(1), pp. 55-60.
Pamučar, D., Božanić, D., Ranđelović, A., 2017, Multi-criteria decision making: An example of sensitivity analysis, Serbian Journal of Management,12(1), pp. 1-27.
Simanaviciene, R., Ustinovicius, L., 2012, A new approach to assessing the biases of decisions based on multiple attribute decision making methods, Elektronika ir Elektrotechnika, 117(1), pp. 29-32.
Božanić, D., 2017, Model of decision support in overcoming water obstacles in Army combat operations, doctoral dissertation, University of Defense in Belgrade, Military Academy, Belgrade, Serbia.
Stewart, T.J., French, S., Rios, J., 2013, Integrating multi-criteria decision analysis and scenario planning—Review and extension, Omega, 41(4), pp. 679-688.
Božanić D., Pamučar D., Đorović B., 2013, Modification of Analytic Hierarchy Process (AHP) Method and its Application in the Defense Decision-making, Tehnika, 68(2), pp. 327-334.
Pamučar, D., Ćirović, G., Božanić, D., 2019, Application of interval valued fuzzy-rough numbers in multi-criteria decision making: The IVFRN-MAIRCA model, Yugoslav Journal of Operations Research, 29(2), pp. 221-247.
Pamučar D., Božanić D., Kurtov D., 2016, Fuzzification of the Saaty's scale and a presentation of the hybrid fuzzy AHP-TOPSIS model: an example of the selection of a Brigade Artillery Group firing position in a defensive operation, Vojnotehnički glasnik /Military Technical Courier, 64(4), pp. 966-986.
Bobar, Z., Božanić, D., Đurić-Atanasievski, K., Pamučar, D., 2020, Ranking and Assessment of the Efficiency of Social Media using the Fuzzy AHP-Z Number Model - Fuzzy MABAC, Acta Polytechnica Hungarica, 17(3), pp. 43-70.
Pamučar, D., Behzad, M., Božanić, D., Behzad, M., 2021, Decision making to support sustainable energy policies corresponding to agriculture sector: Case study in Iran's Caspian Sea coastline, Journal of Cleaner Production, 292, 125302.
Pamučar, D., Savin, L. M., 2020, Multiple-criteria model for optimal off-road vehicle selection for passenger transportation: BWM-COPRAS model, Vojnotehnički glasnik/Military Technical Courier, 68(1), pp. 28-64.
Dimić, S.H., Ljubojević, S.D., 2019, Decision making model in forest road network management, Vojnotehnički glasnik/Military Technical Courier, 67(1), pp. 93-115.
Tešić, D., Božanić, D., 2018, Application of the MAIRCA method in the selection of the location for crossing tanks under, Tehnika, 68(6), pp. 860-867.
DOI: https://doi.org/10.22190/FUME210318047B
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