𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Multi-objective genetic algorithms based automated clustering for fuzzy association rules mining

✍ Scribed by Reda Alhajj; Mehmet Kaya

Publisher
Springer US
Year
2007
Tongue
English
Weight
370 KB
Volume
31
Category
Article
ISSN
0925-9902

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Fuzzy rule selection by multi-objective
Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
✍ Hisao Ishibuchi; Takashi Yamamoto πŸ“‚ Article πŸ“… 2004 πŸ› Elsevier Science 🌐 English βš– 365 KB

This paper shows how a small number of simple fuzzy if-then rules can be selected for pattern classiΓΏcation problems with many continuous attributes. Our approach consists of two phases: candidate rule generation by rule evaluation measures in data mining and rule selection by multi-objective evolut

Performance evaluation of fuzzy rule-bas
Performance evaluation of fuzzy rule-based classification systems obtained by multi-objective genetic algorithms
✍ Hisao Ishibuchi; Tadahiko Murata; Mitsuo Gen πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 279 KB

In this paper, we examine the classification performance of fuzzy if-then rules selected by a GA-based multi-objective rule selection method. This rule selection method can be applied to high-dimensional pattern classification problems with many continuous attributes by restricting the number of ant