AHP-TOPSIS METHOD AS A COMPONENT OF INFORMATION TECHNOLOGY FOR DUAL EDUCATION SYSTEM

Taras Lechachenko

Abstract


Conceptual mathematical model of human resource management (HRM) in the field of personnel training is developed in this paper. The developed model is the basis of information technology of dual education - a component evaluating the students training in the company. The information technology of dual education, which is being developed by us, will integrate education and work in the system of dual education, will solve the problem of cooperation between the company and the educational institution. By the methods of multicriteria analysis the proposed mathematical model of HRM describes the subsystems of dual education: companies, students' academic achievements, criteria for assessing the achievement of competencies by academic courses learning. Intuitionistic fuzzy sets for the determination of the subjectivity of assigning estimates by fuzzy trapezoidal numbers are modified, method of adjusting assigned ratings by experts, taking into account subjectivity is developed in this paper. The method for adjusting the subjectivity of final estimates of the multicriteria problem ranking depending on the aims of the integrating system of ranking alternatives subsystems is proposed. Numerical example of the TOPSIS method application taking into account the subjectivity of experts and without it is presented.

Key words: fuzzy logic, analytic hierarchy process, dual education, information technology, TOPSIS, Intuitionistic fuzzy sets


Full Text:

PDF

References


Gessler, Michael (2017). The lack of collaboration between companies and schools in the German dual apprenticeship system: Historical background and recent data. International Journal for Research in Vocational Education and Training (IJRVET), 2017, 4.2: 164-195.

Lechachenko, Taras (2019). Analysis of foreign experience of implementation of the dual form of education and accessibility of its implementation in Ukraine. Technology audit and production reserves, 2019, 3.2 (47): 31-38.

Dionisius, Regina, et al (2008). Cost and benefit of apprenticeship training-A comparison of Germany and Switzerland. 2008.

Hwang C. L., Yoon K.(1981) Multiple attribute decision making: a state of the art survey. Lecture Notes in Economics and Mathematical Systems. Т. 186. С. 58-191.

Wang Y. J., Lee H. S.(2007) Generalizing TOPSIS for fuzzy multiple-criteria group decision-making. Computers & Mathematics with Applications. – 2007. – Т. 53. – №. 11. – С. 1762-1772.

Mamedova M. H., Dzhabraylova Z. H.(2015) Mnohokryteryalnaia optymyzatsyia zadach upravlenyia chelovecheskymy resursamy na baze modyfytsyrovannoho metoda TOPSIS. Vostochno-Evropeiskyi zhurnal peredovыkh tekhnolohyi. №. 2 (4). S. 48-62.

Lytvyn V. et al. (2016) A method for constructing recruitment rules based on the analysis of a specialist's competences //Восточно-Европейский журнал передовых технологий. №. 6 (2). С. 4-14.

Atanassov, K. T. (1999). Intuitionistic Fuzzy Sets. Studies in Fuzziness and Soft Computing, 1–137. doi:10.1007/978-3-7908-1870-3_1

Zadeh L. A.(1999) Fuzzy logic= computing with words. Computing with Words in Information/Intelligent Systems 1. Physica, Heidelberg, 1999. – С. 3-23.

Chen C. T., Lin C. T., Huang S. F.(2006) A fuzzy approach for supplier evaluation and selection in supply chain management. International journal of production economics. Т. 102. №. 2. С. 289-301.




DOI: https://doi.org/10.26886/2414-634X.4(48)2021.6

Refbacks

  • There are currently no refbacks.