Picture Fuzzy ARTASI (Kara et al. 2024)
PIF-ARTASI (Picture Fuzzy ARTASI (Kara et al. 2024)) 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.
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When to use it
PIF-ARTASI extends ARTASI (Kara et al. 2024) to Picture Fuzzy Sets. PFS-based qualitative criteria are aggregated via PFWA, converted to crisp via score function Sc, and combined with quantitative criteria before the ARTASI standardisation pipeline. Higher K is better.
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.
Sources
- 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 DOI: 10.1016/j.asoc.2024.111826 ↗
How to cite this page
ScholarGate. (2026, June 2). Picture Fuzzy ARTASI (Kara et al. 2024). ScholarGate. https://scholargate.app/en/decision-making/pif-artasi
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