A multicriteria model for the selection of the transport service provider: A single valued neutrosophic DEMATEL multicriteria model

  • Feng Liu Business School, Zhejiang Wanli University, Ningbo, China
  • Guan Aiwu School of Management, Jiangsu University, Zhenjiang, China
  • Vesko Lukovac University of defence in Belgrade, Military academy, Department of logistics, Belgrade, Serbia
  • Milena Vukic The College of Hotel Management, Belgrade, Serbia
Keywords: Multicriteria Decision-making, DEMATEL, Single Valued Neutrosophic Numbers, Provider Selection


The decision-making process requires, a priori, defining and considering certain factors, especially when it comes to complex areas such as transport management in companies. One of the most important items in the initial phase of the transport process that significantly influences its further flow is decision-making about the choice of the most favorable transport provider. In this paper a model for evaluating and selecting a transport service provider based on a single valued neutrosophic number (SVNN) is presented. The neutrosophic set concept represents a general platform that extends the concepts of classical sets, fuzzy sets, intuitionistic fuzzy sets, and an interval valued intuitionistic fuzzy sets. The application of the SVNN concept made a modification of the DEMATEL method (Decision-making Trial and Evaluation Laboratory Method) and proposed a model for ranking alternative solutions. The SVNN-DEMATEL model defines the mutual effects of the provider's evaluation criteria, while, in the second phase of the model, alternative providers are evaluated and ranked. The SVNN-DEMATEL model was tested on a hypothetical example of evaluation of five providers of transport services.


Download data is not yet available.


Atanassov, K. T. & Gargov, G. (1989). Interval valued intuitionistic fuzzy sets, Fuzzy Sets and Systems, vol. 31, no. 3, pp. 343–349.

Atanassov, K. T. (1986). Intuitionistic fuzzy sets, Fuzzy Sets and Systems, vol. 20, no. 1, pp. 87–96.

Biswas, P., Pramanik, S., & Giri, C.B. (2016). TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment. Neural Computing and Applications, 27, 727–737.

Cao, Q., & Wang, Q. (2007). Optimizing vendor selection in a two-stage outsourcing process, Computers & Operations Research, 34, 3757–3768.

Deli, I., & Şubaş, Y. (2017). A ranking method of single valued neutrosophic numbers and its applications to multi-attribute decision-making problems. International Journal of Machine Learning and Cybernetics, 8, 1309–1322. doi: 10.1007/s13042-016-0505-3.

Gigović, Lj., Pamučar, D., Bajić, Z., & Milićević, M. (2016). The combination of expert judgment and GIS-MAIRCA analysis for the selection of sites for ammunition depot. Sustainability, 8(4), 1-30.

Hsu, C.-W., Kuo, T.-C., Chen, S.-H., & Hu, A. H. (2011). Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management, Journal of Cleaner Production.

Monczka, R. M., Trent, R. J., & Handfield, R. B. (2005). Purchasing and Supply Chain Management, 3rd Edition, South-Western, Cengage Learning.

Nobar, M. N., Setak, M., & Tafti, A. F. (2011). Selecting Suppliers Considering Features of 2nd Layer Suppliers by Utilizing FANP Procedure, International Journal of Business and Management, 6(2), 265–275.

Ordoobadi, S. M., & Wang, S. (2011). A multiple perspectives approach to supplier selection, Industrial Management and Data Systems, 111(4), 629–648.

Pamučar, D., & Ćirović,G. (2015). The selection of transport and handling resources in logistics centres using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42, 3016- 3028.

Sanayei, A., Mousavi, S. F., & Yazdankhah, A. (2010). Group decision-making process for supplier selection with VIKOR under fuzzy environment, Expert Systems with Applications, 37, 24–30.

Senthil, S., Srirangacharyulu, B., & Ramesh, A. (2014). A robust hybrid multi-criteria decision-making methodology for contractor evaluation and selection in third-party reverse logistics, Expert Systems with Applications, 41, 50–58.

Shen, C., & Yu, K. (2012). An integrated fuzzy strategic supplier selection approach for considering the supplier integration spectrum, International Journal of Production Research, 50(3), 817–829.

Singh, R., & Sharma, S.K. (2011). Supplier selection: Fuzzy-AHP approach, International Journal of Engineering Science and Technology, 3(10), 7426-7431.

Smarandache, F. (1999). A unifying field in logics. Neutrosophy: Neutrosophic probability, set and logic, American Research Press, Rehoboth.

Snir, E. M., & Hitt, L. M. (2004). Vendor screening in information technology contracting with a pilot project, Journal of Organizational Computing and Electronic Commerce,14(1), 61–88.

Vinodh, S., Anesh Ramiya, R., & Gautham, S.G. (2011). Application of fuzzy analytic network process for supplier selection in a manufacturing organisation, Expert Systems with Applications, 38, 272–280.

Wang, H., Smarandache, F., Zhang, Y. Q., & Sunderraman, R., (2010). Single valued neutrosophic sets, Multispace and Multistructure (4) 410-413.

Zadeh, L.A. (1965). Fuzzy sets, Information and Control, 8(3), pp. 338-353.

Zouggari, A., & Benyoucef, L. (2011). Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection problem, Engineering Applications of Artificial Intelligence, doi:10.1016/j.engappai.2011.10.012.
How to Cite
Liu, F., Aiwu, G., Lukovac, V., & Vukic, M. (2018). A multicriteria model for the selection of the transport service provider: A single valued neutrosophic DEMATEL multicriteria model. Decision Making: Applications in Management and Engineering, 1(2), 121-130. https://doi.org/10.31181/dmame1802128l