Partial Probability of Mohamedou DEBAGH: A New Mathematical Approac

The partial probability approach, proposed by Mohamedou Debagh, explores a new way of modeling events as probabilities, using a hierarchical and recursive decomposition. This approach allows for the consideration of information internal to each event, thus providing increased flexibility in contexts where events are complex or partially known. The article presents the underlying theoretical principles, the fundamental properties of the model, as well as potential applications in fields such as artificial intelligence, decision theory, and multi-agent systems.

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Publication Details

Journal
Journal of Mathematics and Statistics Studies
Published
2025-05-07
DOI
https://doi.org/10.32996/jmss.2025.6.2.2
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Partial Probability of Mohamedou DEBAGH: A New Mathematical Approac

Mohamedou DEBAGH
Journal of Mathematics and Statistics Studies
Statistical Distribution Estimation and Applications
article

Partial Probability of Mohamedou DEBAGH: A New Mathematical Approac

Mohamedou DEBAGH
article en

Abstract

The partial probability approach, proposed by Mohamedou Debagh, explores a new way of modeling events as probabilities, using a hierarchical and recursive decomposition. This approach allows for the consideration of information internal to each event, thus providing increased flexibility in contexts where events are complex or partially known. The article presents the underlying theoretical principles, the fundamental properties of the model, as well as potential applications in fields such as artificial intelligence, decision theory, and multi-agent systems.

Journal of Mathematics and Statistics StudiesVol. 6(2)
Université des Sciences, de Technologie et de Médecine (MR)
Openalex Percentile: Top 90%
Statistical Distribution Estimation and Applications
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