ارزیابی کیفیت خدمت دهی با رویکرد ترکیبی مدل سازی ساختاری تفسیری، فرایند تحلیل سلسله مراتبی فازی، تودیم توسعه یافته در سیستم حمل و نقل ریلی (موردی : استان قم)

Awasthi, A., Chauhan, S. S., Omrani, H., & Panahi, A. (2011). A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality. Computers & Industrial Engineering, 61(3), 637-646.
Aydin, N. (2017). A fuzzy-based multi-dimensional and multi-period service quality evaluation outline for rail transit systems. Transport Policy, 55, 87-98.
Celik, E., Aydin, N., & Gumus, A. T. (2014). A multiattribute customer satisfaction evaluation approach for rail transit network: A real case study for Istanbul, Turkey. Transport Policy, 36, 283-293.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 95(3), 649-655.
Chen, I. S. (2016). A combined MCDM model based on DEMATEL and ANP for the selection of airline service quality improvement criteria: A study based on the Taiwanese airline industry. Journal of Air Transport Management, 57, 7-18.
de Oña, J., de Oña, R., Eboli, L., & Mazzulla, G. (2013). Perceived service quality in bus transit service: a structural equation approach. Transport Policy, 29, 219-226.
Fan, Z. P., Zhang, X., Chen, F. D., & Liu, Y. (2013). Extended TODIM method for hybrid multiple attribute decision making problems. Knowledge-Based Systems, 42, 40-48.
Filipović, S., Tica, S., Živanović, P., & Milovanović, B. (2009). Comparative analysis of the basic features of the expected and perceived quality of mass passenger public transport service in Belgrade. Transport, 24(4), 265-273.
Gomes, L. F. A. M. (2009). An application of the TODIM method to the multicriteria rental evaluation of residential properties. European Journal of Operational Research, 193(1), 204-211.
Gomes, L. F. A. M., & Lima, M. M. P. P. (1992). TODIM: Basics and application to multicriteria ranking of projects with environmental impacts. Foundations of Computing and Decision Sciences, 16(4), 113-127.
Hassan, M. N., Hawas, Y. E., & Ahmed, K. (2013). A multi-dimensional framework for evaluating the transit service performance. Transportation Research Part A: Policy and Practice, 50, 47-61.
Ji, G. J. (2008). Reverse Logistics Operation Management Based on Virtual Enterprises and Complaint Service Manage-ment. Journal of Service Science and Management, 1(01), 51.
Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics information management, 16(6), 382-394.
Krohling, R. A., & de Souza, T. T. (2012). Combining prospect theory and fuzzy numbers to multi-criteria decision making. Expert Systems with Applications, 39(13), 11487-11493.
Lee, A. H., Chen, W. C., & Chang, C. J. (2008). A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert systems with applications, 34(1), 96-107.
Liu, P. D., & Wang, T. J. (2007). A method for multiple attribute decision making with triangular fuzzy number and partial attribute weight information. Journal of Information and Computational Science, 4(3), 1017-1022.
Nassereddine, M., & Eskandari, H. (2017). An integrated MCDM approach to evaluate public transportation systems in Tehran. Transportation Research Part A: Policy and Practice, 106, 427-439.
Nishat Faisal, M., Banwet, D. K., & Shankar, R. (2006). Supply chain risk mitigation: modeling the enablers. Business Process Management Journal, 12(4), 535-552.
Redman, L., Friman, M., Gärling, T., & Hartig, T. (2013). Quality attributes of public transport that attract car users: A research review. Transport Policy, 25, 119-127.
Saaty, T. L. (1980). The analytic hierarchy process: planning. Priority Setting. Resource Allocation, MacGraw-Hill, New York International Book Company, 287.
Sen, D. K., Datta, S., & Mahapatra, S. S. (2017). Extension of TODIM for decision making in fuzzy environment: a case empirical research on selection of industrial robot. International Journal of Services and Operations Management, 26(2), 238-276.
Singh, A., & Prasher, A. (2017). Measuring healthcare service quality from patients’ perspective: using Fuzzy AHP application. Total Quality Management & Business Excellence, 1-17.
Sivilevičius, H., & Maskeliūnaite, L. (2010). The criteria for identifying the quality of passengers’ transportation by railway and their ranking using AHP method. Transport, 25(4), 368-381.
Su, A. Y. L. (2004). Customer satisfaction measurement practice in Taiwan hotels. International Journal of Hospitality Management, 23(4), 397-408.
Taylan, O., Bafail, A. O., Abdulaal, R. M., & Kabli, M. R. (2014). Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies. Applied Soft Computing, 17, 105-116.
Wang, L., Wang, Y. M., Rodríguez, R. M., & Martínez, L. (2017, July). A hesitant fuzzy linguistic model for emergency decision making based on fuzzy TODIM method. In Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on (pp. 1-6). IEEE.
Wang, Y., & Yeo, G. T. (2017). Intermodal route selection for cargo transportation from Korea to Central Asia by adopting Fuzzy Delphi and Fuzzy ELECTRE I methods. Maritime Policy & Management, 1-16.
Warfield, J. N. (1974). Developing interconnection matrices in structural modeling. IEEE Transactions on Systems, Man, and Cybernetics, (1), 81-87.
Yu, C. S. (2002). A GP-AHP method for solving group decision-making fuzzy AHP problems. Computers & Operations Research, 29(14), 1969-2001.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
Zimmermann, H. J. (1978). Fuzzy programming and linear programming with several objective functions. Fuzzy sets and systems, 1(1), 45-55.