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Hesitant Fuzzy Complex Proportional Assessment

OriginatorMishra, A.R., Rani, P., Pardasani, K.R.Year2018Sources1

HF-COPRAS (Hesitant Fuzzy Complex Proportional Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Mishra, A.R., Rani, P., Pardasani, K.R. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

Key highlights

  • Follows a transparent, reproducible computational procedure that can be audited step by step.
  • Handles multiple criteria of differing scales and units within a single decision matrix.

Intuition

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How it works

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When to use it

HF-COPRAS ranks alternatives based on performance scores. Higher score = better rank.

Strengths & limitations

Strengths
  • Follows a transparent, reproducible computational procedure that can be audited step by step.
  • Handles multiple criteria of differing scales and units within a single decision matrix.
Limitations
  • May exhibit rank reversal when alternatives are added to or removed from the set.
  • Assumes full compensation — a strong score on one criterion can offset a weak score on another.

Sources

  1. 1.
    Mishra, A.R., Rani, P., Pardasani, K.R. (2018). Multiple-criteria decision-making for service quality selection based on Shapley COPRAS method under hesitant fuzzy sets. Granular Computing
    DOI 10.1007/s41066-018-0103-8

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ScholarGate. (2026, June 2). HF-COPRAS. ScholarGate. https://scholargate.app/decision-making/hf-copras

Hesitant Fuzzy Complex Proportional Assessment | ScholarGate