Title :
Optimized fuzzy information granulation based machine learning classification
Author :
Li, Yang ; Yu, Fusheng
Author_Institution :
Sch. of Math. Sci., Beijing Normal Univ., Beijing, China
Abstract :
In machine learning classification, the classifier can be described by some rules, and the rules can be expressed by fuzzy granules corresponding to fuzzy concepts. In this paper we will introduce fuzzy information granulation to the process of building fuzzy classifier. Furthermore, we will present an optimized information granulation based machine learning classification algorithm. Experiments carried on the data wine from UCI repository illustrate the good performance of the new algorithm.
Keywords :
fuzzy set theory; learning (artificial intelligence); pattern classification; UCI repository; fuzzy classifier; machine learning classification algorithm; optimized fuzzy information granulation; Classification algorithms; Fuzzy set theory; Machine learning; Machine learning algorithms; Prediction algorithms; Testing; Training; Fuzzy Information Granules(FIG); Information Granulation(IG); Machine Learning(ML); classification;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569681
