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On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant

Victor, Jose and Dourado, Antonio and Angelov, Plamen (2005) On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant. In: 16th IFAC World Congress, 2005-07-01, Prague, Czech Republic.

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Abstract

Evolving Takagi-Sugeno (eTS) fuzzy models are used to build a computational model for the WasteWater Treatment Plant (WWTP) in a paper mill. The fuzzy rule base is constructed on-line from data using a recursive fuzzy clustering algorithm that develops the model structure and parameters. In order to avoid some redundancy in the fuzzy rule base mechanisms for merging membership functions and simplifying fuzzy rules are introduced. The rule base simplification is done by replacement allowing the preservation of the rule (cluster) centres as data points belonging to the original data set. Results for the WWTP show that it is possible to build less complex models and preserve a good balance between accuracy and transparency. Copyright © 2005 IFAC

Item Type: Conference or Workshop Item (Paper)
Journal or Publication Title: 16th IFAC World Congress
Uncontrolled Keywords: On-line learning ; eTS fuzzy models ; recursive fuzzy clustering ; rule base simplification ; interpretability ; transparency ; DCS-publications-id ; inproc-395 ; DCS-publications-credits ; dsp ; DCS-publications-personnel-id ; 82
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 946
Deposited By: Dr. Plamen Angelov
Deposited On: 11 Jan 2008 11:41
Refereed?: Yes
Published?: Published
Last Modified: 03 Jun 2014 17:18
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/946

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