A new fuzzy ratio and its application to the single input rule modules connected fuzzy inference system
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/2014
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Resumo |
The principle of ratios has been applied to many real world problems, e.g. the part-to-part and part-to-whole ratio formulations. As it is difficult for humans to provide an exact ratio in many real situations, we introduce a fuzzy ratio in this paper. We use some notions from fuzzy arithmetic to analyze fuzzy ratios captured from humans. An application of the formulated fuzzy ratio to a Single Input Rule Modules connected Fuzzy Inference System (SIRMs-FIS) is demonstrated. Instead of using a precise weight, fuzzy sets are employed to represent the relative importance of each rule module. The resulting fuzzy weights are explained as a fuzzy ratio on a weight domain. In addition, a new SIRMs-FIS model with fuzzy weights and part-to-whole fuzzy ratio is devised. A simulated example is presented to clarify the proposed SIRM-FIS model. |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://dro.deakin.edu.au/eserv/DU:30070581/jong-anewfuzzyratio-2014.pdf http://dro.deakin.edu.au/eserv/DU:30070581/jong-anewfuzzyratio-evid-2014.pdf http://www.dx.doi.org/10.1109/FUZZ-IEEE.2014.6891614 |
Direitos |
2014, IEEE |
Palavras-Chave | #fuzzy arithmetic #Fuzzy ratio #fuzzy weights #single input rule modules connected fuzzy inference system |
Tipo |
Conference Paper |