DocumentCode :
141563
Title :
Converting fuzzy models to rough models
Author :
Guaracy, Fernando ; Pinheiro, Carlos ; Ferreira, Luis
Author_Institution :
Syst. Eng. & Inf. Technol. Inst., Fed. Univ. of Itajuba, Itajuba, Brazil
fYear :
2014
fDate :
27-30 July 2014
Firstpage :
37
Lastpage :
42
Abstract :
In this paper, a systematic approach is proposed to convert fuzzy models into rough models. In certain phases of fuzzy model processing, specific procedures are necessary, such as fuzzification or defuzzification. Rough models make up a class of models based on rules which do not require either process for the involved variables. This characteristic proves to be beneficial in real time applications in which processing time is considered critical.
Keywords :
fuzzy set theory; real-time systems; rough set theory; fuzzy models; real time applications; rough models; Computational modeling; Fuzzy sets; Information systems; Input variables; Mathematical model; Numerical models; control systems; fuzzy model; rough model; rule-based model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Informatics (INDIN), 2014 12th IEEE International Conference on
Conference_Location :
Porto Alegre
Type :
conf
DOI :
10.1109/INDIN.2014.6945480
Filename :
6945480
Link To Document :
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