Comparer des méthodes

	BALANCED-SPOTIS	Processus d'analyse hiérarchique	Méthode de pondération par entropie de Shannon
Domaine	Prise de décision	Prise de décision	Prise de décision
Famille	MCDM	MCDM	MCDM
Année d'origine	2025	1980	1948
Auteur d'origine	Shekhovtsov, A., Dezert, J., Sałabun, W.	Saaty, T. L.	Shannon, C. E.
Type	Distance-to-ideal with blended ISP/ESP reference	Pairwise comparison (eigenvalue)	Information-theoretic objective weighting (Shannon entropy)
Source fondatrice	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)	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal
Alias	—	—	—
Apparentées	5	8	8
Résumé	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.	AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. 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.