Alternative Ranking Technique based on Adaptive Standardized Intervals
ARTASI (Alternative Ranking Technique based on Adaptive Standardized Intervals) is a ranking multi-criteria decision-making (MCDM) method introduced by Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. 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
K_i ∈ ℝ; higher K means better alternative. ARTASI uses two-level standardisation with adaptive bounds (S_max, S_min go slightly beyond the data via the (·)^(1/m) term) and combines ideal-direction utility (P+) with anti-ideal utility (P−). ψ controls the trade-off and τ controls the Minkowski-style aggregation strength.
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.Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. (2024). A picture fuzzy CIMAS-ARTASI model for website performance analysis in human resource management. Applied Soft Computing
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Cite this page
ScholarGate. (2026, June 2). ARTASI. ScholarGate. https://scholargate.app/decision-making/artasi