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Evaluating Suitable Job Applicants Using Expert System

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Book cover Recent Advances in Soft Computing (ICSC-MENDEL 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 576))

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Abstract

This paper proposes a fuzzy system for selection of suitable job applicants using an expert system. We propose the evaluation of job applicants using evaluation number and the evaluation of a job interview by a prepared questionnaire and expert system – EXS1. Based on this information and knowledge base, the expert system (EXS2) suggests the most suitable candidates for the position. The proposed fuzzy system is verified on a selected job position and a few job applicants.

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References

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Acknowledgment

This work was supported by the project “LQ1602 IT4Innovations excellence in science” and during the completion of a Student Grant SGS02/UVAFM/2016 with student participation, supported by the Czech Ministry of Education, Youth and Sports.

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Authors and Affiliations

  1. Department of Informatics and Computers, University of Ostrava, 30. Dubna 22, 701 03, Ostrava, Czech Republic

    Bogdan Walek, Ondrej Pektor & Radim Farana

Authors
  1. Bogdan Walek
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  2. Ondrej Pektor
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  3. Radim Farana
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Corresponding author

Correspondence to Bogdan Walek .

Editor information

Editors and Affiliations

  1. Department of Applied Computer Science, Institute of Automation and Computer Science, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic

    Radek Matoušek

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Walek, B., Pektor, O., Farana, R. (2017). Evaluating Suitable Job Applicants Using Expert System. In: Matoušek, R. (eds) Recent Advances in Soft Computing. ICSC-MENDEL 2016. Advances in Intelligent Systems and Computing, vol 576. Springer, Cham. https://doi.org/10.1007/978-3-319-58088-3_18

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  • DOI: https://doi.org/10.1007/978-3-319-58088-3_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58087-6

  • Online ISBN: 978-3-319-58088-3

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