[1] Aguezzoul, A., The third party logistics selection: A review of literature. International Logistics and Supply Chain Congress, Istanbul, Turkey, Nov 2007, pp. 7-14.
[2] Aghdaie, M.H., Hashemkhani Zolfani, S. & Zavadskas, E.K., A hybrid approach for market segmentation and market segment evaluation and selection: an integration of data mining and MADM. Transformations in Business & Economics 12 (2B (29B)), 2013a, pp. 42–59.
[3] Khademolqorani, S. & Zeinal Hamadani, A., An Adjusted Decision Support System through Data Mining and Multiple Criteria DecisionMaking. Procedia-Social and Behavioral Sciences 73, 2013, pp. 388 – 395.
[4] Asgharizadeh, E., Bitaraf, A., & Nazabadi, M.R., Services and warranty outsourcing model by MCDM. Journal of executive management 3(5), 2011, pp. 13-28.
[5] McGinnis, M.A., Kochunny, C.M., Ackerman, K.B., Third-party logistics choice. The International Journal of Logistics Management 6 (2), 1995, pp. 93–102.
[6] Meade, L., Sarkis, J., A conceptual model for selecting andevaluating third-party reverse logistics providers. Supply Chain Management: An International Journal 7 (5), 2002, pp. 283–295.
[7] Bottani, E., Rizzi, A., A fuzzy TOPSIS methodology tosupport outsourcing of logistics services. Supply Chain Management: An International Journal 11 (4), 2006, pp. 294–308.
[8] Qureshi, M. N., Kumar, D., & Kumar, P., An integrated model to identify and classify the key criteria and their role in the assessment of 3PL service providers. Asia Paciļ¬c Journal of Marketing and Logistics 20, 2008, pp. 227–249.
[9] Liu, H. T., & Wang, W. K., An integrated fuzzy approach for providerevaluation and selection in the third-party logistics. Expert Systems with Applications 36, 2009, pp. 4387–4398.
[10] Ho, W., He, T., Lee, C. & Emrouznejad, A., Strategic logistics outsourcing: An integrated QFD and fuzzy AHP approach. Expert Systems with Applications 39, 2012, pp. 10841-10850.
[11] Aguezzoul, A., Third-Party Logistics Selection Problem: ALiterature Review on Criteria and Methods. Omega 49, 2014, pp. 69–78.
[12] Senthil, S., Srirangacharyulu, B. & Ramesh, A., A robust hybrid multi-criteria decision making methodology forcontractor evaluation and selection in third-party reverse logistics. Expert Systems with Applications 41, 2014, pp. 50-58.
[13] Tavana, M., Zareinejad, M., Di Caprio, D. & Kaviani, M. A.,
An Integrated Intuitionistic Fuzzy AHP and SWOTMethod for Outsourcing Reverse Logistics.
Applied Soft Computing 40, 2016, pp. 544–557.
[14] Bagherinejad, J., & Sadegh Amalnik, M., A model to select the most suitable option of third party logistics companies in Iran. Journal of supply chain management 14(36), 2012, pp. 4-19.
[15] Rad, A., Naderi, B. & Soltani, M., Clustering and ranking university majors using data mining and AHP algorithms: A case study in Iran. Expert Systems with Applications 38(1), 2011, pp. 755–763.
[16] Peng, Y., Zhang, Y., Tang, Y. & Li. S., An incident information management framework based on data integration, data mining, and multi-criteria decision making. Decision Support Systems 51(2), 2011, pp. 316–327.
[17] Khalili-Damghania, K., Sadi-Nezhadb, S., Lotfic, F.H. & Tavanad, M., A hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selection. Information Sciences 220, 2013, pp. 442–462.
[18] Azar, A., Mahdavi Rad, A. R. & Musakhani, M.,
hybrid model of data mining and multi-criteria decision making(Case Study: Subsidies Database of Statistical Center of Iran).
Journal of operational research in its application 1(44), 2015, pp. 95–111.
[19] Shahin, A., Saleh Zade, R. & Ghandehari, M.,
Proposing an Integrated Model of Clustring, AHP and kano Approaches for Service Recommendation With a Case study in Saman bank of Qom.
Journal of management researches in Iran 1(16), 2012, pp. 73–91.
[20] Bashiri Mousavi, A. R., Afsar, A. & Mahjubifard, A.,
Customer value analysis in bank with data mining technique and fuzzy analytic hierarchy process.
Journal of management researches in Iran 1(19), 2015, pp. 23–43.
[21] Kersuliene, V., Zavadskas, E. K. & Turskis, Z., Selection of rational dispute resolution method by applying new step_wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management 11(2), 2010, pp. 243–258.
[22] Stanujkic, D., Karabasevic, D. & Zavadskas, E. K., Framework for the Selection of a packaging design based on the SWARA method. Inzinerine Ekonomika – Engineering Economics 26(2), 2015, pp. 181- 187.
[23] Opricovic, S. & Tzeng, G. H., Multi-criteria planning of post earthquake sustainable reconstruction. Computer-Aided Civil and Infrastructure Engineering 17, 2002, pp. 211–220.
[24] Tavakkoli Moghaddam, R., Najafi, E. & Yazdani, M.,
Project Manager Selection by using a Fuzzy Hybrid Delphi-VIKOR approach.
Journal of management researches in Iran 4(16), 2013, pp. 19–44.
[25] Punj, G., & Stewart, D.W., Cluster analysis in Marketing Research: Review and Suggestions for Application. Journal of Marketing Research 20, 1983, pp. 134–148.