𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Learning Premises of Fuzzy Rules for Knowledge Acquisition in Classification Problems

✍ Scribed by N. Xiong; L. Litz; H. Ressom


Publisher
Springer-Verlag
Year
2002
Tongue
English
Weight
129 KB
Volume
4
Category
Article
ISSN
0219-1377

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Learning maximal structure rules in fuzz
✍ J.L. Castro; J.J. Castro-Schez; J.M. Zurita πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 736 KB

The aim of this article is to present a new approach to machine learning (precisely in classification problems) in which the use of fuzzy logic has been taken into account. We intend to show that fiazzy logic introduces new elements in the identification process, mainly due to the facility to manage

Combining boosting and evolutionary algo
✍ Frank Hoffmann πŸ“‚ Article πŸ“… 2004 πŸ› Elsevier Science 🌐 English βš– 247 KB

This paper presents a novel boosting algorithm for genetic learning of fuzzy classiΓΏcation rules. The method is based on the iterative rule learning approach to fuzzy rule base system design. The fuzzy rule base is generated in an incremental fashion, in that the evolutionary algorithm optimizes one