DocumentCode
2614823
Title
Incremental fuzzy modelling of dependencies in complex physical systems
Author
Ouliddren, K. ; Nowé, A.
Author_Institution
Nucl. Res. Centre, SCK-CEN, Mol, Belgium
fYear
1997
fDate
21-24 Sep 1997
Firstpage
136
Lastpage
141
Abstract
Considers the fuzzy modelling of dependencies in complex physical systems. Recently, we have been working on a SISO (single-input, single-output) case and developed a successful model. In reality, we face more general cases than SISOs. The present step is to extend the SISO model to MISO (multiple-input, single-output) cases. In the SISO model, we consider the fact that a linear relation can be approximated by just two fuzzy rules. To implement this approach, the output domain of the function is partitioned into a finite number of regions with boundaries defined by local maxima and minima. In these regions, the function is monotonic and continuous. Each region is approximated by two fuzzy rules. The direct extension of the model to the MISO case is to consider that, for instance, a 3D linear relation can be approximated by three rules and, more generally, an n-dimensional relation is approximated by n rules
Keywords
approximation theory; fuzzy systems; large-scale systems; modelling; MISO model; SISO model; complex physical system dependencies; function output domain partitioning; fuzzy rules; incremental fuzzy modelling; linear relation approximation; local maxima; local minima; monotonic continuous function; multiple-input, single-output model; n-dimensional relations; region approximation; Analytical models; Artificial intelligence; Control systems; Fuzzy control; Fuzzy sets; Fuzzy systems; Monitoring;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 1997. NAFIPS '97., 1997 Annual Meeting of the North American
Conference_Location
Syracuse, NY
Print_ISBN
0-7803-4078-7
Type
conf
DOI
10.1109/NAFIPS.1997.624025
Filename
624025
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