International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies


:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies TuEngr+QR-Code

ISSN 2228-9860
eISSN 1906-9642


Vol.12(4) (2021)


  1. Alexander, J. M. 2012. The Analytic Hierarchy Process Applications and Studies. London: Blackwells.
  2. Batista, L., Dora, M., Toth, J., Molnar, A., Malekpoor, H., and Kumari, S., 2019. Knowledge management for food supply chain synergies-A maturity level analysis of SME companies. Production Planning & Control, 30(10-12), pp. 995-1004.
  3. Chang, D. Y. 1996. Application of extend analysis method on Fuzzy AHP. European Journal of Operational Research, 96, pp. 343-350.
  4. Deloitte. 2020. Financial reporting framework in Saudi Arabia. [Online] Deloitte. (Accessed October 2020).
  5. Dos Santos, P. H., Neves, S. M., Sant'Anna, D. O., de Oliveira, C. H., and Carvalho, H. D., 2019. The analytic hierarchy process supporting decision making for sustainable development: An overview of applications. Journal of cleaner production, 212, pp. 119-138.
  6. Ecer, F., 2018. Third-party logistics (3PLs) provider selection via Fuzzy AHP and EDAS integrated model. Technological and Economic Development of Economy, 24(2), pp. 615-634.
  7. Emrouznejad, A., and Ho, W., 2017. Fuzzy Analytic Hierarchy Process 1st Edition. London: Chapman and Hall/CRC.
  8. Ghassabi, Z., 2018. Measuring of intellectual capital indexes using FAHP technique in institutes of higher education. International Journal of Services and Operations Management, 29(2), pp. 236-251.
  9. Haldar, S., Karmaker, C. L. and Hossain, S. R., 2019. A framework to evaluate and improve supply chain: FAHP based case study on a supermarket. International Journal of Research in Industrial Engineering, 8(3), pp. 225-242.
  10. Halder, S., Roy, M. B., and Roy, P. K., 2020. Fuzzy logic algorithm based analytic hierarchy process for delineation of groundwater potential zones in complex topography. Arabian Journal of Geosciences, 13(13), pp. 1-22.
  11. Jain, J., Walia, N., and Gupta, S., 2019. Evaluation of behavioral biases affecting investment decision making of individual equity investors by fuzzy analytic hierarchy process. Review of Behavioral Finance, 12 (3), pp. 297-314.
  12. Jiang, X., Wang, H., Guo, X., and Gong, X., 2019. Using the FAHP, ISM, and MICMAC approaches to study the sustainability influencing factors of the last mile delivery of rural E-commerce logistics. Sustainability, 11(14), p. 3937.
  13. Khorramrouz, F., Kajabadi, N. P., Galankashi, M. R., and Rafiei, F. M., 2019. Application of Fuzzy Analytic Hierarchy Process (FAHP) in failure investigation of knowledge-based business plans. SN Applied Sciences, 1(11), p. 1386.
  14. Lee, S. H. 2010. Using Fuzzy AHP to develop Intellectual Capital evaluation model for assessing their performance contribution in a University. Expert Systems with Applications, 37, 4941-4947.
  15. Mabrouk, N., Omri, A., and Jarraya, B., 2020. Factors influencing the performance of supply chain management in Saudi SMEs. Uncertain Supply Chain Management, 8(3), pp. 569-578.
  16. Mansour, M., Dawood, S., and Falqi, I., 2020. An Integrated Structural Equation Modeling and Analytic Hierarchy Process Approach to Prioritize Investment in the Construction Industry to Achieve Sustainable Development in Saudi Arabia. Polish Journal of Environmental Studies, 29(3), 56-67.
  17. Matteo, B. 2015. Introduction to the Analytic Hierarchy Process. London: Springer.
  18. Omrani, S., Jafari, M., and Mansori, A., 2019. Analysis of Financial Performance of Cement Industry Manufacturing Companies in Tehran Stock Exchange Using the FAHP Technique and the TOPSIS Method. Independent Journal of Management & Production, 10(2), pp. 512-536.
  19. Rezaei, A., Jahanshad, A., and Nataj Malekshah, G. H. T. 2019. Identification and Ranking of Barriers to the Expected Credit Loss (ECL) Model Implementation in Iranian Banks Using the FAHP and WASPAS Technique. Journal of Accounting and Auditing Review, 26(2), pp. 239-254.
  20. Rostami, M., Goudarzi, A., and Zaj, M., 2015. Defining balanced scorecard aspects in banking industry using FAHP approach. International Journal of Economics and Business Administration, 1(1), pp. 25-38.
  21. Saaty, T. L. 1980. The analytic hierarchy process. New York: McGraw-Hill.
  22. Selim, ?. Y., Erman, E. T., and Ugur, B. A. C. 2018. A Fuzzy AHP Ranking Model for Intellectual Capital Management Level in Ankara Industries. ISCAMI2012, Malenovice, Czech Republic.
  23. Shariati, M., 2019. Ranking Firms based on Manager's Biased Behavior and Investigating its Relation to Information Asymmetry using FAHP-Shannon Entropy-TOPSIS. Asian Journal of Research in Business Economics and Management, 9(12), pp. 1-28.
  24. Sidek, Z., Ramzi, N. M. M., Hashim, H., Mohamad, S. N. F., and Kamil, M. A. A. M., 2019. Comparison of AHP and fuzzy AHP for multi-criteria decision making. Journal of Mathematics & Computing Science, 5(1), pp. 15-26.
  25. Stevic, Z., Stjepanovic, Z., Bozickovic, Z., Das, D. K., and Stanujkic, D., 2018. Assessment of conditions for implementing information technology in a warehouse system: A novel fuzzy piprecia method. Symmetry, 10(11), p. 586.
  26. Wang, C. H., Lee, W. H., Yeh, C. H., and Pang, C. T., 2019, November. Evaluating of factor affecting the cloud-based collaboration system based on FAHP. In Proceedings of the 3rd International Conference on Telecommunications and Communication Engineering, pp. 95-99.
  27. Wang, Y. M., Luo, Y., and Hua, Z. 2008. On the extent analysis method for Fuzzy AHP and its applications. European Journal of Operational Research, 186, 735-747.
  28. Wu, C. R., Chang, C. W., and Lin, H. L., 2008. FAHP sensitivity analysis for measurement nonprofit organizational performance. Quality & Quantity, 42(3), pp. 283-302.
  29. Yal?in, N., and ?nl?, U., 2018. A multi-criteria performance analysis of Initial Public Offering (IPO) firms using CRITIC and VIKOR methods. Technological and Economic development of Economy, 24(2), pp. 534-560.
  30. Yazici, I., Beyca, O. F., Gurcan, O. F., Zaim, H., Delen, D., and Zaim, S., 2020. A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria. Annals of Operations Research, pp. 1-24.
  31. Zaied, A. N. H., Grida, M. O., and Hussein, G. S., 2018. Evaluation of critical success factors for business intelligence systems using fuzzy AHP. Journal of Theoretical and Applied Information Technology, 96(19), pp. 6406-6422.
  32. Zhao, L., and Tu, W. J., 2011. Risk assessment of China's PPP projects based on the integration of FAHP and FCE. Sci. Technol. Manag. Res, 2, pp. 80-83.

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