Decision-making analysis based on hesitant fuzzy N-soft ELECTRE-I approach

For the formal expression of uncertain data, hesitant fuzzy set theory has established itself as a distinguished model because it broad use in multi-attribute decision-making problems. With incorporation features from N-soft sets, useful framework referred to sets acquired an even greater appeal. This integrates and associates environment with information regarding existence grades or star ratings. In this research article, we introduce technique known ELECTRE-I, which computes decision-maker assessments adjustable formative manner. The proposed method also improves robustness accuracy decisions relying on Thus lays bedrock for subsequent analysis applications. We justify relevance convenience by testing actually existing scenarios. Finally, give comparison novel methodology HFNS-TOPSIS method.