The Multistage Fuzzy Logic-Based Decision Support Model to Determine the Salary of New Employees

Abstract

Salary determination for prospective new employees is critical in determining the level of employee satisfaction that can motivate people. The goal of this research is to develop a decision support model to determine salaries for prospective new employees by combining three methods: Multistage fuzzy logic, and conventional and simple mathematical models. Fuzzy logic is used to calculate fuzzy parameters, while conventional methods are used to calculate non-fuzzy parameters by multiplying parameter values by their weights. In this study, data amounted to approximately 30 data obtained via a questionnaire, which describes the personal data of prospective new employees at a company. There are 18 parameters in this study divided into four main categories that determine the amount of salary for prospective new employees. This decision support model generates a salary for prospective new employees that the company can use as a reference when providing salaries.