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September 27, 2025AxiomsOpen Access

A Novel p-Norm-Based Ranking Algorithm for Multiple-Attribute Decision Making Using Interval-Valued Intuitionistic Fuzzy Sets and Its Applications

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Authors

SKSandeep KumarChaudhary Charan Singh UniversitySMSaiful R. MondalKing Faisal UniversityRTReshu Tyagi

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Implication

This algorithm improves decision-making outcomes in multiple attributes using p-norm and intuitionistic fuzzy sets, indicating enhanced adaptability.

Key Points

  • The novel algorithm improves multiple-attribute decision making by adapting to uncertainties in attribute values and weights.
  • It introduces a generalized score function that effectively ranks alternatives based on p-distance calculations.
  • Utilizing IVIF numbers enhances the representation of attributes, allowing for intricate decision-making insights.
  • Real-world applications showcase the algorithm's effectiveness in identifying optimal solutions, particularly in investment scenarios.

Cite This Study

Kumar et al. (2025) studied this question.

synapsesocial.com/papers/68d7b3edeebfec0fc523730fhttps://doi.org/10.3390/axioms14100722
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Also Consider

Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Multiple attribute decision making method in the frame of interval-valued intuitionistic fuzzy sets2011 · 34 citations
  2. 2Novel entropy and distance measures for interval-valued intuitionistic fuzzy sets with application in multi-criteria group decision-making2022 · 39 citations
  3. 3An Improved Ranking Method for Multi Attributes Decision Making Problem Based on Interval Valued Intuitionistic Fuzzy Values2022 · 7 citations