A Bipolar Neutrosophic Multi Criteria Decision Making Framework for Professional Selection

Abstract

Professional selection is a significant task for any organization that aims to select the most appropriate candidates to fill well-defined vacancies up. In the recruitment process, various individual characteristics are involved, such as leadership, analytical skills, independent thinking, innovation, stamina and personality, ambiguity and imprecision. It outlines staff contribution and therefore plays a significant part in human resources administration. Additionally, in the era of the Internet of Things and Big Data (IoTBD), professional selection would face several challenges not only to the safe selection and security but also to make wise and prompt decisions especially in the large-scale candidates and criteria from the Cloud. However, the process of professional selection is often led by experience, which contains vague, ambiguous and uncertain decisions. It is therefore necessary to design an efficient decision-making algorithm, which could be further escalated to IoTBD. 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. The MCDM framework is applied for chief executive officer (CEO) selection in a case study at the Elsewedy Electric Group, Egypt. The proposed approach allows us to assemble individual evaluations of the decision makers and therefore perform accurate personnel selection. The outcomes of the proposed method are compared with those of the related works such as weight sum model (WSM), weight product model (WPM), analytical hierarchy process (AHP), multi-objective optimization based on simple ratio analysis (MOORA) and ANP methods to prove and validate the results.

MABAC method for multiple attribute group decision making under single-valued neutrosophic sets and applications to performance evaluation of sustainable microfinance groups lending

“…Decision problems have multiple decision attributes [14][15][16][17]. For qualitative decision attributes, the decision attribute values are usually presented in the form of language evaluation, such as excellent, good, qualified, unqualified and other semantic information, which brings difficulties to mathematical calculation and analysis, simply quantitative conversion of semantic information, such as setting grades, cannot guarantee scientificity, and it is easy to lose important information, resulting in decision-making mistakes [18][19][20][21][22]. Zadeh [23] structured the fuzzy sets (FSs).…”

Vectors of indicators and pointer function in the Multistage Bipolar Method

“…A hybrid MCDM framework applied to the ANP and TOPSIS methods under bipolar neutrosophic numbers is presented in (Abdel-Basset et al 2020). This framework is applied for the problem of selecting the chief executive officer at the Elsewedy Electric Group in Egypt.…”

Public health emergency decision-making and management system sound research using rough set attribute reduction and blockchain

“…An example is the specific decision-making process, including three stages of editing, evaluation, and selection 22 – 24 . Editing is a process in which decision-makers set the criteria for gains and losses.…”