A comparative analysis of Hamming and Extended Hausdorff distance measures for supplier selection using single-valued neutrosophic sets
DOI:
https://doi.org/10.55573/JISED.118754Keywords:
Single-Valued Neutrosophic Sets, Neutrosophic Distance Measure, Multi-Criteria Decision-Making, Supplier Selection, Similarity Measure, Ranking MethodAbstract
An effective supplier selection strategy is essential for ensuring business success, particularly because suppliers play a significant role in an organization’s operational performance and competitiveness. However, selecting the most suitable supplier can be challenging due to uncertainty, imprecision, and hesitation in the decision-making process. This study focusess on comperative analysis between distance measure-based approach for selecting the best supplier under uncertain conditions using Single-Valued Neutrosophic Sets (SVNS). Several important supplier selection criteria are considered to facilitate a comprehensive evaluation of potential suppliers. The proposed approach incorporates three distance measures, namely Hamming distance, normalized Hamming distance, and extended Hausdorff distance, together with a similarity measure. A three-phase decision-making framework is developed and applied to a supplier selection problem, followed by a comparative analysis of the resulting rankings. The results indicate that a lower value is preferred for the distance measures, whereas a higher value is preferred for the similarity measure. The proposed approach provides a simple, systematic, and effective decision-making tool for supplier selection in an uncertain environment.
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