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Multifactor Selection of Personnel Based on Fuzzy Logic

In conditions of global competition, human capital becomes an essential factor in company's activities. To keep pace with up-to-date technology enhancements and changes, it is important to select the right employee for a specific position. There are professional HR departments in many large companies to deal with this problem. However, there is still misunderstanding, especially regarding the necessary changes in job and position profiles. The selection of personnel determines its quality and plays a decisive role in the successful implementation of company's tasks. The personnel selection problem was widely studied. The selection of the best employee among a great number of alternative job seekers is a multicriteria decision-making problem. Handling uncertainty in real-world problems was a long-term research task that has generated various methodologies and theories. Fuzzy decision-making, including extensions, has provided a wide range of tools that can handle uncertainty in various types of problems. Fuzzy decision-making methods are becoming increasingly popular in personnel selection decision-making. This paper covers the problem of personnel selection using fuzzy logic on the example of the computer subdivision of the company. Contrary to the traditional use of this technology with a single parameter as output, the article describes the formation of three output variables. By analogy with radio engineering terminology, this problem can be characterized as Many Inputs-Many Outputs (MIMO). The problem was solved in MatLab 2018b software package and brought to its logical conclusion.