Application of the fuzzy logic in the employees' wage quantification process

Abstract

Fuzzy Logic was introduced in 1965 by Lofti Zadeh and aims at the analysis of linguistic variables and membership functions, allowing a subjective interpretation than the classical logical-mathematical models. This contribution uses a Mamdani inference model in the hypothetical application of fuzzy logic in a decision-making process in a human resources department. The possibility of a company determining the employee’s wages in the hiring step is considered. The characteristics to be observed are the age of the candidate, classifying him in one of the following generations, baby boomer, X, centennials (Y) and millennials (Z), in addition to his experience and qualification, in years. Then, 21 valuation rules are considered as well in this calculation. Finally, some simulations are presented, with different input values ​​for some candidates and their respective salaries, showing that the implemented tool can be very useful, providing a result free from any personal judgment of the HR analyst.