AN ALGORITHM OF FUZZY INFERENCE SYSTEM FOR HUMAN RESOURCES SELECTION TOOLS

Authors

  • Krasimir Slavyanov "Vasil Levski" National Military University

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.

Author Biography

  • Krasimir Slavyanov, "Vasil Levski" National Military University
    KRASIMIR O. SLAVYANOV was born in Krumovgrad, Bulgaria and went to the "Vasil Levski" National MIlitary University, where he studied computer systems and technologies and obtained his degree in 2008. He worked for a couple of years for the Bulgarian Land forces, Ministry of Defence before moving in 2011 to the National Military University where he is now Assist. Prof. in Faculty "Artillery, Air Defence and Communication and Information Systems", department "Computer systems and technologies". He is part of a small team working in the field of development of ISAR and AI technologies. His e-mail address is : k.o.slavyanov@gmail.com.

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