Compact Belief Rule Base Learning for Classification with Evidential Clustering
The belief rule-based classification system (BRBCS) is a promising technique for addressing different types of uncertainty in complex classification problems, by introducing the belief function theory into the classical fuzzy rule-based classification system. However, in the BRBCS, high numbers of i...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/21/5/443 |