Fuzzy SPOTIS — Fuzzy extension of SPOTIS
FUZZY-SPOTIS (Fuzzy SPOTIS — Fuzzy extension of SPOTIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Shekhovtsov, A., Paradowski, B., Więckowski, J., Kizielewicz, B., Sałabun, W. in 2022. 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
fuzzy-spotis extends SPOTIS to handle Fuzzy uncertainty. All arithmetic operations (normalisation, weighting, distance computation) are performed using Triangular Fuzzy Number (TFN: l, m, u) algebra. The final scores are defuzzified via centroid (l+m+u)/3 before ranking.
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.Shekhovtsov, A., Paradowski, B., Więckowski, J., Kizielewicz, B., Sałabun, W. (2022). Extension of the SPOTIS method for the rank reversal free decision-making under fuzzy environment. 2022 IEEE 61st Conference on Decision and Control (CDC)
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Cite this page
ScholarGate. (2026, June 2). FUZZY-SPOTIS. ScholarGate. https://scholargate.app/decision-making/fuzzy-spotis