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Decision Support System for Evaluating Suitable Job Applicants

Author

Listed:
  • Bogdan Walek

    (Department of Informatics and Computers, University of Ostrava, 30. dubna 22, 701 03 Ostrava, Czech Republic)

  • Ondrej Pektor

    (Department of Informatics and Computers, University of Ostrava, 30. dubna 22, 701 03 Ostrava, Czech Republic)

  • Radim Farana

    (Department of Informatics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic)

Abstract

This paper describes a novel approach in the area of evaluating suitable job applicants for various job positions, and specifies typical areas of requirement and their usage. Requirements for this decision-support system are defined in order to be used in middle-size companies. Suitable tools chosen were fuzzy expert systems, primarily the inference system Takagi-Sugeno type, which were then supplied with implementation of methods of variant multi-criteria analysis. The resulting system is a variable tool with the possibility to simply set the importance of individual selection criteria so that it can be used in various situations, primarily in repeated selection procedures for similar job positions. A strong emphasis is devoted to the explanatory module, which enables the results of the expert system to be used easily. Verification of the system on real data in cooperation with a collaborating company has proved that the system is easily usable.

Suggested Citation

  • Bogdan Walek & Ondrej Pektor & Radim Farana, 2021. "Decision Support System for Evaluating Suitable Job Applicants," Mathematics, MDPI, vol. 9(15), pages 1-23, July.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:15:p:1773-:d:602262
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    Cited by:

    1. Martin Kotyrba & Hashim Habiballa & Eva Volná & Robert Jarušek & Pavel Smolka & Martin Prášek & Marek Malina & Vladěna Jaremová & Jan Vantuch & Michal Bar & Petr Kulišťák, 2022. "Expert System for Neurocognitive Rehabilitation Based on the Transfer of the ACE-R to CHC Model Factors," Mathematics, MDPI, vol. 11(1), pages 1-19, December.

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