New multi‑criteria decision making technique based on neutrosophic QUALIFLEX method

Abstract

The field of Multicriteria Decision Making (MCDM) has advanced significantly, with methods like QUALIFLEX playing a key role by integrating concordance and discordance measures for robust decision outcomes. This paper introduces an innovative extension, neutrosophic QUALIFLEX, which incorporates neutrosophic sets to better handle uncertainty and indeterminacy. Neutrosophic logic manages truth, indeterminacy, and falsity simultaneously, offering a nuanced approach compared to traditional models. The scope of this article is the application of neutrosophic QUALIFLEX to staff selection in business, a scenario often plagued by high uncertainty. Preliminary results show that neutrosophic QUALIFLEX provides superior performance, delivering more accurate and reliable rankings of candidates. This method addresses the limitations of conventional MCDM approaches, improving decision-making accuracy and expanding the theoretical foundations of MCDM for future research and applications in complex environments. This contribution to the literature bridges a critical gap by addressing the limitations of conventional MCDM methods in dealing with ambiguous and indeterminate information. The integration of neutrosophic sets into the QUALIFLEX framework not only improves decision-making accuracy but also expands the theoretical foundations of MCDM, paving the way for future research and application in complex decision environments.