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

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

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On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant. / Victor, Jose; Dourado, Antonio; Angelov, Plamen.
2005. Paper presented at 16th IFAC World Congress, Prague, Czech Republic.

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Harvard

Victor, J, Dourado, A & Angelov, P 2005, 'On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant', Paper presented at 16th IFAC World Congress, Prague, Czech Republic, 1/07/05. <http://www.nt.ntnu.no/users/skoge/prost/proceedings/ifac2005/Fullpapers/04732.pdf>

APA

Victor, J., Dourado, A., & Angelov, P. (2005). On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant. Paper presented at 16th IFAC World Congress, Prague, Czech Republic. http://www.nt.ntnu.no/users/skoge/prost/proceedings/ifac2005/Fullpapers/04732.pdf

Vancouver

Victor J, Dourado A, Angelov P. On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant. 2005. Paper presented at 16th IFAC World Congress, Prague, Czech Republic.

Author

Victor, Jose ; Dourado, Antonio ; Angelov, Plamen. / On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant. Paper presented at 16th IFAC World Congress, Prague, Czech Republic.6 p.

Bibtex

@conference{316ee1aa6ac1415698b7406d959e8290,
title = "On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant",
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 {\textcopyright} 2005 IFAC",
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",
author = "Jose Victor and Antonio Dourado and Plamen Angelov",
year = "2005",
month = jul,
language = "English",
note = "16th IFAC World Congress ; Conference date: 01-07-2005",

}

RIS

TY - CONF

T1 - On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant

AU - Victor, Jose

AU - Dourado, Antonio

AU - Angelov, Plamen

PY - 2005/7

Y1 - 2005/7

N2 - 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

AB - 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

KW - On-line learning

KW - eTS fuzzy models

KW - recursive fuzzy clustering

KW - rule base simplification

KW - interpretability

KW - transparency

KW - DCS-publications-id

KW - inproc-395

KW - DCS-publications-credits

KW - dsp

KW - DCS-publications-personnel-id

KW - 82

M3 - Conference paper

T2 - 16th IFAC World Congress

Y2 - 1 July 2005

ER -