An Integrated MCDM Approach to the Problem of New Graduate Job Selection Under Fuzzy Environment

  • Metin Dagdeviren
  • Aylin Adem
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 896)


The job s/he chooses as a starting point for her/his career for a young workforce graduated from college with certain qualifications is crucial in ensuring the correct placement and sustainability of the workforce. From this point of view, along with the human resources department of a large-scale business, to determine the tendency of newly graduated students to select a business area, a study was conducted with four human resource specialists. In this context, three alternative working areas were selected for the new graduate student. It was included in the selection problem by determining the criteria that would be effective in selecting a job and providing job satisfaction. These selection criteria were derived from factors included in Herzberg’s Dual Factor Theory. In the solution of the selection problem, a two-stage integrated structure was used. Analytical Hierarchy Process (AHP) method was used to gain criteria’s weight and Hesitant Fuzzy VIKOR method was used for determining the order of the alternatives which are the next step after obtaining the weights. The reason for using AHP method in achieving the criterion weights can be expressed as that AHP is a simple method and gives consistent results. In the same way, the HF-VIKOR solution approach is used for ordering the alternatives, with the thought that they will act hesitantly when making this decision which will affect the lives of the new graduates.


Hesitant fuzzy sets VIKOR Job selection AHP MCDM 


  1. 1.
    Tunacan, S., Çetin, C.: Lise öğretmenlerinin iş doyumunu etkileyen faktörlerin tespitine ilişkin bir araştırma. M.Ü. Atatürk Eğitim Fakültesi Eğitim Bilimleri Dergisi 29, 155–172 (2009)Google Scholar
  2. 2.
    Koç, S., Bardak, A., Yılmaz, K.: Identifying workplace expectations of final-year nursing students. Hemşirelikte Eğitim ve Araştırma Dergisi 11(3), 43–50 (2014)Google Scholar
  3. 3.
    Bozkurt, Ö., Bozkurt, İ.: A field study on job satisfaction effecting internal factors in education sector. Doğuş Üniversitesi Dergisi 9(1), 1–18 (2008)Google Scholar
  4. 4.
    Akkaya, G., Turanoğlu, B., Öztaş, S.: An integrated fuzzy AHP and fuzzy MOORA approach to the problem of industrial engineering sector choosing. Expert Syst. Appl. 42(24), 9565–9573 (2015)CrossRefGoogle Scholar
  5. 5.
    Groover, M.P.: Work Systems and the Methods, Measurement, and the Management of Work. Pearson Prentice Hall, Upper Saddle River (2007)Google Scholar
  6. 6.
    Saaty, T.L.: The Analytic Hierarchy Process. Mcgraw-Hill, New York (1980)zbMATHGoogle Scholar
  7. 7.
    Opricovic, S., Tzeng, G.H.: Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur. J. Oper. Res. 156, 445–455 (2004)CrossRefGoogle Scholar
  8. 8.
    Liao, H., Xu, Z., Zeng, X.: Hesitant fuzzy linguistic VIKOR method and its application in qualitative multiple criteria decision making. IEEE Trans. Fuzzy Syst. 23(5), 1343–1355 (2015)CrossRefGoogle Scholar
  9. 9.
    Zhang, N., Wei, G.: Extension of VIKOR method for decision making problem based on hesitant fuzzy set. Appl. Math. Model. 37, 4938–4947 (2013)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Liu, H.W., Wang, G.J.: Multi-criteria decision-making methods based on intuitionistic fuzzy sets. Eur. J. Oper. Res. 179, 220–233 (2007)CrossRefGoogle Scholar
  11. 11.
    Merigó, J.M., Casanovas, M.: Induced aggregation operators in decision making with the Dempster-Shafer belief structure. Int. J. Intell. Syst. 24, 934–954 (2009)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Industrial Engineering DepartmentGazi UniversityAnkaraTurkey
  2. 2.TUSAŞ-Kazan Vocational School, Department of Administration and OrganizationGazi UniversityAnkaraTurkey

Personalised recommendations