Abstract
Multi-criteria decision-making methods (MCDM) represent a very powerful tool for making decisions in different areas. Making a rational and reliable decision, while respecting different factors, is a challenging and difficult task; MCDM models have a great impact on achieving this goal. In this paper, a new MCDM technique is presented—ranking alternatives by defining relations between the ideal and anti-ideal alternative (RADERIA), which was tested for the evaluation of human resources (HR) in a transportation company. The RADERIA model has three key advantages that recommend it for future use: (1) the RADERIA model has a new approach for data normalization that enables defining the normalization interval according to the judgments of a decision-maker; (2) an adaptive model for data normalization of the RADERIA model allows tough conversion into various forms of decreasing functions (linear, quadratic equation, etc.); and (3) the resistance of the RADERIA model to the rank reversal problem. Furthermore, in many simulations, the RADERIA method has shown stability when processing a larger number of datasets. This was also confirmed by a case study with 36 alternatives, as considered in this paper. The results and verification of the proposed new method were acquired through a comprehensive verification of the complexity of the results. The complexity of the results was executed through (1) comparison with four other multi-criteria methods, (2) checking the resistance of the RADERIA model to the rank reversal problem, and (3) the analysis of the impact of changes in the measurement scale on the ranking results.
Highlights
IntroductionManaging a successful business in any field depends primarily on the ability to maintain the needs and meet the expectations of all participants in the examined chain
Suppose the results show some logical inconsistencies, which can be seen through unwanted alternative rankings
To improve the complexity of the model of multi-criteria decision making [54,55,56,57,58,59], the RADERIA model is proposed based on the relation between the alternatives
Summary
Managing a successful business in any field depends primarily on the ability to maintain the needs and meet the expectations of all participants in the examined chain. It is necessary to define the goals and strive to achieve them. Logistics plays an important role in this, giving the answers to the question of how to rationalize, considering primarily the performances that have the most impact on rationalization. Especially in the past few years, even companies in developing countries have recognized the importance of logistics in the rationalization of their entire system. According to [1], rationalization of logistics activities and processes is very important in doing business and achieving
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