# A Bipolar Neutrosophic Multi Criteria Decision Making Framework for Professional Selection
## 1 Introduction  
Human resources are considered as one of the most important assets for an organization to improve its advantages of real wealth in knowledge economy [1; 2]. The interest of organizations and large institutions in human capitals contributes to significant investment. Therefore, many organizations give a clear interest in the process of personnel selection to represent a positive turning point in relation to the organization, relying on them to achieve growth rates; thus supporting in the acquisition of the entire business sector in which the company is located, determining the input quality of human resources and personnel recruitments and choosing directly [3]. Personnel selection is the procedure of selecting candidates who accord the desired employees and match the skills, knowledge and experience for the respective jobs [4]. Certainly, one of the major causes for the down grade of performance andthe productivity of the enterprise is due to poor personnel selection. Inappropriate choices affect not only the level of the individual, but also the production [5; 6; 7; 8]. Personnel selection is complicated in the real world, as decision makers tend to decide and forecast based on the qualitative methods, such as interviewing the candidates and knowing them well through conversations and group activities. In contrast, they may have poor judgment on the team and individual performance based on their quantitative metrics, such as productivity, outputs of their contributions and so on. Most often, there are vague expressions and imprecise terms used throughout the process that can make the judgment imprecise and investment on human capitals less productive. To make this forward, a neutrosophic theory is usually applied in decision problems. Neutrosophic research has been well established and demonstrated in supplier selection [9], developing supplier selection criteria [10; 11], smart medical device selection [12] or quantifying risks in supply chain [13]. A neutrosophic set is also used to solve complex problems and design interrelationships and interdependencies among criteria and alternatives. In real life, personnel selection is a Multi-Criteria Decision Making (MCDM) problem, and from the MCDM perspective, it has attracted the attention of many researchers [14]. [PERSON] et al. [15] used a new fuzzy ELimination Et Choix Traduisant la REalite (ELECTRE) method for personnel selection. [PERSON] et al. [16] presented an approach for the selection of personnel. [PERSON] et al. [17] used multi-valued neutrosophic sets with a projection-based difference measurement in an acronym in Portuguese for Interactive and Multicriteria Decision Making (TODIM) method. A collection of extensions of the order preference by similarity to ideal solution by Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for personnel selection using the interval neutrosophic set has been presented in [18]. [PERSON] et al. [19] raised the idea of personal biases in decision making. Personnel selection for IT using Evaluation based on Distance from Average Solution (EDAS) has been demonstrated by [20]. Apart from these researches, other researchers' works could be found in the literature. Based on the observation, the hybridization could offer better results than the standalone method. The objective of this study is to develop a decision-making approach to a multiple information sources problem, which enables us to incorporate neutrosophic data represented as linguistic variables or bipolar neutrosophic numbers into the analysis, and disregards the troublesome neutrosophic number ranking process that may yield inconsistent results when different ranking methods are used. In this paper, we propose a new hybrid neutrosophic multi criteria decision making (MCDM) framework that employs a collection of neutrosophic analytical network process (ANP), and order preference by similarity to ideal solution (TOPSIS) under bipolar neutrosophic numbers.