Personnel Selection Using a Fuzzy MCDM Approach Based on Ideal and Anti-ideal Solutions

Abstract

A variety of factors that are considered in personnel selection such as personality, leadership, and communication skills represent subjective and vague assessments. The fuzzy set theory appears as an effective tool to incorporate imprecise judgments inherent in the personnel selection process. In this paper, a fuzzy multi-criteria decision making (MCDM) framework based on the concepts of ideal and anti-ideal solutions is developed for selecting the most appropriate candidate from the short-listed applicants. The proposed method enables us to incorporate data in the forms of linguistic variables, triangular fuzzy numbers and crisp numbers into the personnel selection decision analysis. Linguistic variables are also used to indicate the criteria’s subjective importance weights assigned by the decision-makers. A comprehensive example illustrates the application of the multi-criteria decision analysis.