Fuzzy Analytical Hierarchy Process for Analysing the Factors that Influence the Career Choices of Graduate Students at UiTM Perlis

Fuzzy Analytical Hierarchy Process for Analysing the Factors that Influence the Career Choices of Graduate Students at UiTM Perlis


  • Khairu Azlan Abd Aziz Universiti Teknologi MARA Perlis Branch, Arau Campus, Perlis, Malaysia
  • Wan Suhana Wan Daud Institute of Engineering Mathematics, UniMAP, Kampus Pauh Putra, Arau, Perlis
  • Mohd Fazril Izhar Mohd Idris Universiti Teknologi MARA Perlis Branch, Arau Campus, Perlis, Malaysia
  • Salsabila Saimuddi Universiti Teknologi MARA Perlis Branch, Arau Campus, Perlis, Malaysia




Students' Career Choice, Saaty's Scale, Fuzzy Analytic Hierarchy Process, Fuzzy AHP, Career Choices


There are various types of careers that graduated students can pursue today. However, the career selection could be quite confusing and challenging, due to some factors such as parental and academic influences, personal interest and work environment. This study is aimed to rank the main factor and sub-factor that influence the students’ career choices of graduate students at UiTM Perlis. Interviews are conducted in obtaining the input for the study. Based on the input obtained, the study utilized the approach based on Saaty’s scale and fuzzy analytic hierarchy process (AHP). The factor that has the highest value of the normalized weight is that most influences factor, which is the personal interest factor. For sub-factors, workplace is the most influential factor, while the sub-factor with the least influence is safety under the parental factor, which is also the least ranked of the factors influencing students' career choices.


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Afzal, H. A., Raza, S., Aamir Khan, R., & ul ain Ansari, N. (2018). Effect of family influence, personal interest and economic considerations on career choice amongst undergraduate students in higher educational institutions of Vehari, Pakistan. International Journal of Organizational Leadership, 7(2), 129–142. https://doi.org/10.33844/ijol.2018.60333.

Aziz, K. A. A., Idris, M. F. I. M., Daud, W. S. W., & Aziz, N. S. F. (2023). Nasyid competition assessment using fuzzy evaluation method, Journal of Computing Research and Innovation, 8 (2), 12-19.

Aziz, K. A. A., Idris, M. F. I. M., Daud, W. S. W., & Fauzi, M. M. (2023). Application of fuzzy analytic hierarchy process (FAHP) for the selection of best student award, Journal of Computing Research and Innovation, 8(2), 80-90.

Bozanic, D., & Pamucar. D, (2013). Modification of the analytical hierarchical process method and its application in decision making in the defense system. Technology, 68(2), 327-334.

Chen, Y. T., Peng, W. C., & Yu, H. Y. (2018). Identify key factors for career choice by using TOPSIS and fuzzy cognitive map. 2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS). IEEE Xplore. https://10.1109/ICIS.2018.8466384

Dubois, D. & Prade, H. (1980). Fuzzy sets and systems: Theory and applications (Vol. 144). Academic Press.

Dyrbye, L., West, C., Johnson, P., & Cipriano, P. (2020). An investigation of career choice regret among American nurses. AJN, The American Journal of Nursing, 120(4), 24-33.

Emrouznejad, A., & Ho, W. (2022). Fuzzy analytic hierarchy process. Taylor & Francis.

Fizer, D. (2013). Factors affecting career choices of college students enrolled in agriculture [Master’s thesis, The University of Tennessee]. https://d1wqtxts1xzle7.cloudfront.net/36879398/Influences_on_Students_Choice_of_College_Major-libre.pdf?1425647813=&response-content-disposition

Idris, M. F. I. M., Aziz, K. A. A., & Aziz, N. S. F. A. (2023). Selecting the effective ways to prevent covid-19 from spreading using fuzzy AHP method. Journal of Computing Research and Innovation, 8 (2), 112-123.

Kabir, G., & Ahsan Akhtar Hasin, M. (2011). Comparative analysis of AHP and fuzzy AHP models for multicriteria inventory classification Project Time-Cost Trade-Off: A Bayesian Approach to Update Project Time & Cost Estimates View project Comparative Analysis Of Ahp And Fuzzy Ahp Models For Mult. International Journal of Fuzzy Logic Systems (IJFLS), 1(1), 1–16. https://www.researchgate.net/publication/267237307

Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A., & Diabat, A. (2013). Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain. Journal of Cleaner Production, 47, 355-367. https://doi.org/10.1016/j.jclepro.2013.02.010

Kass, E., & Miller, E. C. (2018). Career choice among academically excellent students: Choosing teaching career as a corrective experience. Teaching and Teacher Education, 73, 90–98. https://doi.org/10.1016/j.tate.2018.03.015

Kazi, A. S., & Akhlaq, A. (2017). Factors affecting students’ career choice. Journal of Research and Reflections in Education, 2(December 2017), 187–196.

Kilic, H. S. & Cevikcan, E. (2011). Job selection based on fuzzy AHP: An investigation including the students Of Istanbul Technical University Management Faculty. International Journal of Business and Management Studies, 3 (1), 173-182.

Koçak, O., Ak, N., Erdem, S. S., Sinan, M., Younis, M. Z., & Erdoğan, A. (2021). The role of family influence and academic satisfaction on career decision-making self-efficacy and happiness. International Journal of Environmental Research and Public Health, 18(11). https://doi.org/10.3390/ijerph18115919

Leung, S. A., Hou, Z., Gati, I., & Li, X. (2011). Effects of parental expectations and cultural-values orientation on career decision-making dif fi culties of Chinese University students. Journal of Vocational Behavior, 78(1), 11–20. https://doi.org/10.1016/j.jvb.2010.08.004

Nobanee, H., & Ellili, N. (2018). Anti-Money laundering disclosures and banks’ performance. Journal of Financial Crime, 25(1), 95-108.

Rezaei, M., & Ketabi, S. (2016). Ranking the banks through performance evaluation by integrating Fuzzy AHP and TOPSIS methods: A Study of Iranian private banks. International Journal of Academic Research in Accounting, Finance and Management Sciences, 6(3), 19–30. https://doi.org/10.6007/ijarafms/v6-i3/2148

Saaty, T. L. (1980). The analytic hierarchy process. McGraw-Hill.

Saaty, T. L. & Ozdemir, M. S. (2015). How many judges should there be in a group? Annals of Data Science, Springer. https://10.1007/s40745-014-0026-4.

Sattar, W., Tony Lim Bin Abdullah, M. R., & Mirzaei, F. (2018). A FAHP approach to select students’ performance assessment criteria in task-based English language teaching. SHS Web of Conferences, 53, 03005. https://doi.org/10.1051/shsconf/20185303005

Twidwell, J., Dial, D., & Fehr, C. (2022). Gender, career choice confidence, and perceived faculty support in baccalaureate nursing students. Journal of Professional Nursing, 39, 96–100. https://doi.org/10.1016/j.profnurs.2022.01.006

Van Laarhoven, P. J. M., & Pedrycz, W. (1983). A fuzzy extension of Saaty’s priority theory.

Fuzzy Sets and Systems, 11(1–3), 229–241.

Zabihi, H., Alizadeh, M., Wolf, I. D., Karami, M., & Ahmad, A. (2020). A GIS-based fuzzy-analytic hierarchy process ( F-AHP ) for ecotourism suitability decision making : A case study of Babol in Iran. Tourism Management Perspectives, 36(January), 100726. https://doi.org/10.1016/j.tmp.2020.100

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




How to Cite

Abd Aziz, K. A., Wan Daud, W. S., Mohd Idris, M. F. I., & Saimuddi, S. (2024). Fuzzy Analytical Hierarchy Process for Analysing the Factors that Influence the Career Choices of Graduate Students at UiTM Perlis. Journal of Computing Research and Innovation, 9(1), 180–196. https://doi.org/10.24191/jcrinn.v9i1.395



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