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| Balanced SPOTIS× | Shannon-Entropie-Gewichtungsmethode× | |
|---|---|---|
| Fachgebiet | Entscheidungsfindung | Entscheidungsfindung |
| Familie | MCDM | MCDM |
| Entstehungsjahr≠ | 2025 | 1948 |
| Urheber≠ | Shekhovtsov, A., Dezert, J., Sałabun, W. | Shannon, C. E. |
| Typ≠ | Distance-to-ideal with blended ISP/ESP reference | Information-theoretic objective weighting (Shannon entropy) |
| Wegweisende Quelle≠ | Shekhovtsov, A., Dezert, J., Sałabun, W. (2025). Enhancing Personalized Decision-Making with the Balanced SPOTIS Algorithm. 17th International Conference on Agents and Artificial Intelligence (ICAART 2025) DOI ↗ | Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗ |
| Aliasnamen | — | — |
| Verwandt≠ | 5 | 8 |
| Zusammenfassung≠ | BALANCED-SPOTIS (Balanced SPOTIS — Balanced Stable Preference Ordering Towards Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Shekhovtsov, A., Dezert, J., Sałabun, W. in 2025. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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