@inproceedings{438c791ba659450f81d3a5f1a2648cf1,
title = "Induction of fuzzy decision rules based upon rough sets theory",
abstract = "This paper describes system which tries to join the advantages of rough sets methods and fuzzy sets methods to improve classification process. The fuzzy sets theory supports approximate reasoning and the rough sets theory is responsible for data analyzing and process of automatic fuzzy rules generation. This system was designed as typical knowledge based system, which contains four main parts: rule extractor, knowledge base, inference engine and user interface.",
author = "Grzegorz Drwal and Marek Sikora",
year = "2004",
doi = "10.1109/FUZZY.2004.1375374",
language = "English",
isbn = "0780383532",
series = "IEEE International Conference on Fuzzy Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1391--1395",
booktitle = "2004 IEEE International Conference on Fuzzy Systems - Proceedings",
address = "United States",
note = "2004 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2004 ; Conference date: 25-07-2004 Through 29-07-2004",
}