Spatio-probabilistic Approach To Fuzzy Data Modeling In Space Weather

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Résumé

This paper presents a contribution to the spatio-probabilistic modeling of fuzzy data in space meteorology. We first model that if the fuzzy random observations follow a uniform distribution under a certain repetition, then we determine the probability after incorporating the fuzzy data. We also show that in the absence of exact data, we then combine the latter with another class and finally distribute the data proportionally while
respecting the conditional probability distribution at each step.

Mots-clés

fuzzy data , prediction , Probabilistic modeling , random distribution