DocumentCode
676301
Title
Modelling high-dimensional systems with fuzzy rules
Author
Remache, Cherif ; Maamri, Remdane ; Sahnoun, Zaidi
Author_Institution
Comput. Sci. Dept., Oum-El-Bouaghi Univ., Oum-El-Bouaghi, Algeria
fYear
2013
fDate
7-9 Nov. 2013
Firstpage
330
Lastpage
333
Abstract
The use of large number of variables to describe complex systems generates redundant elements and an excessive complexity with a poor transparency of the model describing the system. A particular interest is necessary to select relevant input variables to identify the input structure. We propose a method to select this structure in order to provide a compromise between the complexity, the transparency and the numerical accuracy of the studied model.
Keywords
computational complexity; fuzzy logic; fuzzy set theory; large-scale systems; modelling; complex systems; complexity; fuzzy logic; fuzzy rules; high-dimensional systems modelling; model transparency; numerical accuracy; Accuracy; Complexity theory; Computational modeling; Fuzzy sets; Input variables; Numerical models; Pragmatics; High-dimensional Systems; complex systems; complexity reduction; fuzzy inference systems; fuzzy rules; interpretative rules;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Computer and Computation (ICECCO), 2013 International Conference on
Conference_Location
Ankara
Type
conf
DOI
10.1109/ICECCO.2013.6718295
Filename
6718295
Link To Document