A Multi-Attribute Decision-Making Method Based on Entanglement Dominance Relation
DOI:
https://doi.org/10.15837/ijccc.2026.2.7104Keywords:
entanglement domain, entanglement dominance relation, maximal clique, uncertainty domain, multi-attribute decision-makingAbstract
To address the limitations of traditional dominance relation-based rough sets in handling information systems with partial order relations, this paper proposes a multi-attribute decision-making method based on entanglement dominance relation. First, the definition of the existing entanglement domain is revised, and the concept of entanglement dominance relation is introduced. The properties of the entanglement domain and its computation method-the improved Bron-Kerbosch algorithm are discussed. On this basis, a secondary ranking method is proposed, in which the subsets of the entanglement domain are first externally ordered, and then the objects within each subset are internally ordered according to specified rules. Finally, an empirical analysis of logistics supply chain performance evaluation is conducted to verify the effectiveness and dominance of the proposed method. The results demonstrate that this method can more accurately reflect the superiority and inferiority relation among objects, providing a new perspective and solution for multi-attribute decision-making problems.
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