Neutrosophic Spherical extension of CODAS
NSS-CODAS (Neutrosophic Spherical extension of CODAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Bhuvaneshwari, S., Antony Crispin Sweety, C. in 2024. 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
NSS-CODAS fuses neutrosophic logic (T, I, F triples) with spherical-style squared-norm membership (0 ≤ T²+I²+F² ≤ 3) and applies CODAS-style closeness ratio ranking. Group judgements are pre-aggregated via SWAM or SWGM (Eqs.13–14). Criteria weights are NSS triples aggregated the same way. The revised closeness ratio ξ_i (Eq.28) is interpreted with lower-is-better — opposite to crisp CODAS — because the modification subtracts the NIS-normalised distance from the PIS-normalised distance.
Strengths & limitations
- 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.
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Common pitfalls
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Sources
- 1.Bhuvaneshwari, S., Antony Crispin Sweety, C. (2024). Neutrosophic Spherical Sets in MCDM. Neutrosophic Sets and Systems
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Cite this page
ScholarGate. (2026, June 2). NSS-CODAS. ScholarGate. https://scholargate.app/decision-making/nss-codas