A Decision-Making Model for Professional Drivers Selection: A Hybridized Fuzzy–AROMAN–Fuller Approach

Abstract

Professional drivers play a crucial role in many businesses and the lives of people. They are responsible for transferring people and goods between distant points, enabling safe and efficient flows. The road traffic death rate is from 8.3 to 27.5 per 100,000 inhabitants in the countries globally. Because professional drivers spend a significant amount of time on the road, their appropriate selection may contribute to general traffic safety. In addition, an adequate selection of candidates significantly impacts the financial costs of the employing company. However, the recruitment procedure is a very complex task where multiple criteria should be considered. By its nature, this is a typical multi-criteria decision-making problem. The purpose of this paper is twofold: to contribute to the methodological, as well as to the professional field. Considering the professional, we propose a decision-making tool in the procedure of professional driver selection. There are several methodological contributions. By reviewing the literature, we identified 14 criteria for candidate selection. In the proposed model, by using expert opinion and implementing DEMATEL and Fuller’s pairwise comparisons, we ranked these criteria and determined the seven most important for further calculation procedure. Here, we introduced an original approach for measuring the reliability of obtained answers. Then, to rank the candidates, the fuzzy AROMAN approach is applied for the first time in the literature. The input data were obtained in the form of a survey, where the experts evaluated the importance of criteria and their interrelation. We used MS Excel and MATLAB for data processing. An additional methodological contribution of this study is an advancement of the AROMAN method by the proposal of an algorithm for the calculation of parameter λ used in the final ranking formula. To illustrate the applicability of the proposed model, a case study is provided. Based on the results, we can conclude that the new methodological approaches can be successfully used in the procedure of professional driver selection, as well as in solving other multi-criteria decision-making problems.

Z-Numbers-Based MCDM Approach for Personnel Selection at Institutions of Higher Education for Transportation

“…However, none of the authors have used the AROMAN method for personnel selection, to date. To date, the AROMAN method has only been used a few times in other fields [49][50][51][52][53]. However, none of these papers combine the AROMAN method with fuzzy Z-numbers, which is the methodology of this paper.…”

“…This method combines the normalized data from the two-stage normalization and generates an average matrix from it [49,50]. The classical AROMAN method has been improved by extending it with ordinary fuzzy numbers to improve its applicability [51][52][53]. However, by integrating fuzzy sets into the model, it is not possible to reflect the hesitations of decisionmakers when making their judgments.…”

Sustainable Delivery Model Selection using AROMAN Approach

“…In this paper, the authors have chosen to apply a novel multicriteria approach to solving the problem of selecting a sustainable delivery model, recently developed by Bošković et al [5]. Considering the method's relatively recent development, it has been applied to address several types of problems to date: an Intuitionistic Fuzzy model for assessing the performance of Eco Ports [13], an interval decision-making method of type-2 fuzzy AROMAN for enhancing the sustainability of postal networks in rural areas [14], a decision-making model for selecting professional drivers [15], and the evaluation of sustainable human resource management in manufacturing companies [16]. The results are presented in Table 2.…”

“…Overview of the applications of the AROMAN method in the literature References Tasks Bošković et al [5] Yalçın et al [13] Choosing an electric vehicle for delivery Model for assessing the performance of eco ports Nikolić et al [14] Improving the sustainability of the postal network in rural areas Čubranić-Dobrodolac et al [15] Selection of professional drivers Rani et al [16] Assessment of Sustainable HRM in manufacturing companies This paper Sustainable delivery model -choice of delivery mode…”

MCDM-Based Wildfire Risk Assessment: A Case Study on the State of Arizona

“…Considering the fact that the AROMAN method is relatively new, so far it has been applied in solving several types of problems: Intuitionistic fuzzy model for EcoPorts performance evaluation [19], interval type 2 decision-making method Fuzzy AROMAN for improving the sustainability of the postal network in rural areas [20], decision-making model for the selection of professional drivers [21], evaluation of sustainable human resource management in manufacturing firms [22].…”