Overcoming the limitations of the raps method by identifying alternative data normalization methods

HIGHLIGHTS

• What: This study proposes a new approach to improve the performance of the Ranking Alternatives by Perimeter Similarity (RAPS) in Multi-Criteria Decision-Making (MCDM). has attracted attention but encounters difficulties when handling zero values in the decision matrix. This approach has been followed in numerous studies by identifying suitable data normalization methods for combination with MCDM, such as MAROCS , CODAS , PIV , Simple WISP , ROV , CRADIS , MACONT , TOPSIS , and others. This study has only confirmed the suitability of the N2, N3, and N5 data normalization methods when combined with RAPS in the case of using a specific . . .
  

   

  

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