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Knowledge-Driven and Data-Driven Fuzzy Models for Predictive Mineral Potential Mapping

โœ Scribed by Alok Porwal; E. J. M. Carranza; M. Hale

Book ID
110424236
Publisher
Springer US
Year
2003
Tongue
English
Weight
772 KB
Volume
12
Category
Article
ISSN
1573-8981

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Data-driven fuzzy modeling has been used in a wide variety of applications. However, in fuzzy rule-based models acquired from numerical data, redundancy often exists in the form of redundant rules or similar fuzzy sets. This results in unnecessary structural complexity and decreases the interpretabi