Stable Preference Ordering Towards Ideal Solution
SPOTIS (Stable Preference Ordering Towards Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Dezert, J., Tchamova, A., Han, D., Tacnet, J. M. in 2020. 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
p_i ∈ [0,1]. Lower p means the alternative is closer to the ideal solution. SPOTIS is designed to be rank-reversal free: adding or removing alternatives does not change the relative ranking of existing alternatives, because the normalisation is based on fixed user-defined bounds, not on the alternatives themselves. Bounds [x_min_j, x_max_j] define the decision space and must be set by the decision-maker before evaluation.
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.Dezert, J., Tchamova, A., Han, D., Tacnet, J. M. (2020). The SPOTIS rank reversal free method for multi-criteria decision-making support. 2020 IEEE 23rd International Conference on Information Fusion (FUSION)
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Cite this page
ScholarGate. (2026, June 2). SPOTIS. ScholarGate. https://scholargate.app/decision-making/spotis