MCDMDecision-makingDistanceMath steps
Complex Fuzzy Z-Number MARCOS Ranking
CFZN-MARCOS (Complex Fuzzy Z-Number MARCOS Ranking) is a distance multi-criteria decision-making (MCDM) method introduced by Shahid, A. Ashraf, S. Chohan, M. S. in 2026. 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
CFZN-MARCOS 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
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Common pitfalls
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Sources
- 1.Shahid, A., Ashraf, S., Chohan, M. S. (2026). Complex Fuzzy MARCOS and WASPAS Approaches with Z-Numbers for Augmented Reality Decision Making. Spectrum of Operational Research
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Cite this page
ScholarGate. (2026, June 2). CFZN-MARCOS. ScholarGate. https://scholargate.app/decision-making/cfzn-marcos