Human Resources Management Application Selection with fuzzy MAIRCA Method Based on fuzzy PIPRECIA

Abstract

Today, the intense competitive environment for businesses creates complexity in the decision-making process. It is recommended to use Multi-Criteria Decision Making (MCDM) methods, which are one of the most effective and practical methods in solving complexities. In uncertain and indefinite situations, using Fuzzy MCDM methods instead of Classic MCDM methods provides an advantage in decision making. With fuzzy MCDM methods, subjective evaluations expressed verbally by decision makers are analyzed by integrating them with numerical values. In this study, the selection of human resources management application for a business operating in the fields of logistics, warehousing, sales and commercial marketing was made using the Fuzzy PIPRECIA and Fuzzy MAIRCA methods, which are among the Fuzzy MCDM methods. In the study, seven criteria and four alternatives were identified by taking the opinions of four decision makers. Among the seven criteria evaluated, the most important criterion was K7, which represents the technical support criterion, while the most suitable alternative among the four alternatives was determined as A1.