Assessing the Relevance of Opinions in Uncertainty and Info-Incompleteness Conditions

Assessing the Relevance of Opinions in Uncertainty and Info-Incompleteness Conditions

Researchers are interested in defining decision support systems that can act in contexts characterized by uncertainty and info-incompleteness. The present study proposes a learning model for assessing the relevance of probability, plausibility, credibility, and possibility opinions in the conditions...

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Bibliographic Details
Main Authors: Gerardo Iovane, Riccardo Emanuele Landi, Antonio Rapuano, Riccardo Amatore
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
decision support systems
uncertainty
info-incompleteness
machine learning
artificial intelligence
football market
Online Access:https://www.mdpi.com/2076-3417/12/1/194

Internet

https://www.mdpi.com/2076-3417/12/1/194

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