AN ALGORITHM OF FUZZY INFERENCE SYSTEM FOR HUMAN RESOURCES SELECTION TOOLS

Authors

  • Krasimir Slavyanov "Vasil Levski" National Military University (BG)

DOI:

https://doi.org/10.17770/sie2018vol1.3311

Keywords:

human resources, fuzzy inference system, membership function, fuzzy rule, ranking score

Abstract

This article offers an original Human Resources selection procedure based on Mamdani fuzzy inference system (FIS) dedicated to compute multiple results each from different type of analyzing criterions. The modeling and information analysis of the FIS are developed to draw a general conclusion from several results each produced by Human Resources selection basic criterion. Simulation experiments are carried out in MATLAB environment.

References

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Published

2018-05-25

Issue

Vol. 5 (2018): SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference. May 25th-26th, 2018, Volume V, LIFELONG LEARNING, INFORMATION TECHNOLOGIES IN EDUCATION

Section

Information Technologies in Education

How to Cite

Slavyanov, K. (2018). AN ALGORITHM OF FUZZY INFERENCE SYSTEM FOR HUMAN RESOURCES SELECTION TOOLS. SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference, 5, 445-454. https://doi.org/10.17770/sie2018vol1.3311
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