Aggregation Operator Based Fuzzy Pattern Classifier Design

Uwe Mönks; Henrik Legind Larsen; Volker Lohweg

Aggregation Operator Based Fuzzy Pattern Classifier Design

Uwe Mönks, Henrik Legind Larsen, Volker Lohweg

Institut for Elektroniske Systemer

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

Abstract

This paper presents a novel modular fuzzy pattern classifier design framework for intelligent automation systems, developed on the base of the established Modified Fuzzy Pattern Classifier (MFPC) and allows designing novel classifier models which are hardware-efficiently implementable. The performances of novel classifiers using substitutes of MFPC's geometric mean aggregator are benchmarked in the scope of an image processing application against the MFPC to reveal classification improvement potentials for obtaining higher classification rates.

Originalsprog	Engelsk
Titel	Machine learning in real-time applications (MLRTA 09) : In conjunction with 32nd Annual Conference on Artificial Intelligence KI 2009 workshop, Paderborn, September 15th, 2009
Redaktører	Volker Lohweg, Oliver Niggemann
Antal sider	8
Forlag	Institut Industrial IT der Hochschule Ostwestfalen-Lippe
Publikationsdato	2009
Status	Udgivet - 2009
Begivenhed	Workshop Machine Learning in Real-Time Applications (KI 2009 Workshop, Paderborn, September 15th, 2009) - Paderborn, Tyskland Varighed: 15 sep. 2009 → 18 sep. 2009

Konference

Konference	Workshop Machine Learning in Real-Time Applications (KI 2009 Workshop, Paderborn, September 15th, 2009)
Land/Område	Tyskland
By	Paderborn
Periode	15/09/2009 → 18/09/2009

Navn	Lemgoer Schriftenreihe zur industriellen Informationstechnik
Nummer	3

AUB Link

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Citationsformater

Mönks, U., Larsen, H. L., & Lohweg, V. (2009). Aggregation Operator Based Fuzzy Pattern Classifier Design. I V. Lohweg, & O. Niggemann (red.), Machine learning in real-time applications (MLRTA 09) : In conjunction with 32nd Annual Conference on Artificial Intelligence KI 2009 workshop, Paderborn, September 15th, 2009 Institut Industrial IT der Hochschule Ostwestfalen-Lippe.

Mönks, Uwe ; Larsen, Henrik Legind ; Lohweg, Volker. / Aggregation Operator Based Fuzzy Pattern Classifier Design. Machine learning in real-time applications (MLRTA 09) : In conjunction with 32nd Annual Conference on Artificial Intelligence KI 2009 workshop, Paderborn, September 15th, 2009. red. / Volker Lohweg ; Oliver Niggemann. Institut Industrial IT der Hochschule Ostwestfalen-Lippe, 2009. (Lemgoer Schriftenreihe zur industriellen Informationstechnik; Nr. 3).

@inproceedings{112e951025d911deb9fa000ea68e967b,

title = "Aggregation Operator Based Fuzzy Pattern Classifier Design",

abstract = "This paper presents a novel modular fuzzy pattern classifier design framework for intelligent automation systems, developed on the base of the established Modified Fuzzy Pattern Classifier (MFPC) and allows designing novel classifier models which are hardware-efficiently implementable. The performances of novel classifiers using substitutes of MFPC's geometric mean aggregator are benchmarked in the scope of an image processing application against the MFPC to reveal classification improvement potentials for obtaining higher classification rates.",

keywords = "Fuzzy Pattern Classification, Automation",

author = "Uwe M{\"o}nks and Larsen, {Henrik Legind} and Volker Lohweg",

year = "2009",

language = "English",

series = "Lemgoer Schriftenreihe zur industriellen Informationstechnik",

publisher = "Institut Industrial IT der Hochschule Ostwestfalen-Lippe",

number = "3",

editor = "Volker Lohweg and Oliver Niggemann",

booktitle = "Machine learning in real-time applications (MLRTA 09)",

note = "Workshop Machine Learning in Real-Time Applications (KI 2009 Workshop, Paderborn, September 15th, 2009) ; Conference date: 15-09-2009 Through 18-09-2009",

}

Mönks, U, Larsen, HL & Lohweg, V 2009, Aggregation Operator Based Fuzzy Pattern Classifier Design. i V Lohweg & O Niggemann (red), Machine learning in real-time applications (MLRTA 09) : In conjunction with 32nd Annual Conference on Artificial Intelligence KI 2009 workshop, Paderborn, September 15th, 2009. Institut Industrial IT der Hochschule Ostwestfalen-Lippe, Lemgoer Schriftenreihe zur industriellen Informationstechnik, nr. 3, Workshop Machine Learning in Real-Time Applications (KI 2009 Workshop, Paderborn, September 15th, 2009), Paderborn, Tyskland, 15/09/2009.

Aggregation Operator Based Fuzzy Pattern Classifier Design. / Mönks, Uwe; Larsen, Henrik Legind; Lohweg, Volker.
Machine learning in real-time applications (MLRTA 09) : In conjunction with 32nd Annual Conference on Artificial Intelligence KI 2009 workshop, Paderborn, September 15th, 2009. red. / Volker Lohweg; Oliver Niggemann. Institut Industrial IT der Hochschule Ostwestfalen-Lippe, 2009. (Lemgoer Schriftenreihe zur industriellen Informationstechnik; Nr. 3).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Aggregation Operator Based Fuzzy Pattern Classifier Design

AU - Mönks, Uwe

AU - Larsen, Henrik Legind

AU - Lohweg, Volker

PY - 2009

Y1 - 2009

N2 - This paper presents a novel modular fuzzy pattern classifier design framework for intelligent automation systems, developed on the base of the established Modified Fuzzy Pattern Classifier (MFPC) and allows designing novel classifier models which are hardware-efficiently implementable. The performances of novel classifiers using substitutes of MFPC's geometric mean aggregator are benchmarked in the scope of an image processing application against the MFPC to reveal classification improvement potentials for obtaining higher classification rates.

AB - This paper presents a novel modular fuzzy pattern classifier design framework for intelligent automation systems, developed on the base of the established Modified Fuzzy Pattern Classifier (MFPC) and allows designing novel classifier models which are hardware-efficiently implementable. The performances of novel classifiers using substitutes of MFPC's geometric mean aggregator are benchmarked in the scope of an image processing application against the MFPC to reveal classification improvement potentials for obtaining higher classification rates.

KW - Fuzzy Pattern Classification

KW - Automation

M3 - Article in proceeding

T3 - Lemgoer Schriftenreihe zur industriellen Informationstechnik

BT - Machine learning in real-time applications (MLRTA 09)

A2 - Lohweg, Volker

A2 - Niggemann, Oliver

PB - Institut Industrial IT der Hochschule Ostwestfalen-Lippe

T2 - Workshop Machine Learning in Real-Time Applications (KI 2009 Workshop, Paderborn, September 15th, 2009)

Y2 - 15 September 2009 through 18 September 2009

ER -

Mönks U, Larsen HL, Lohweg V. Aggregation Operator Based Fuzzy Pattern Classifier Design. I Lohweg V, Niggemann O, red., Machine learning in real-time applications (MLRTA 09) : In conjunction with 32nd Annual Conference on Artificial Intelligence KI 2009 workshop, Paderborn, September 15th, 2009. Institut Industrial IT der Hochschule Ostwestfalen-Lippe. 2009. (Lemgoer Schriftenreihe zur industriellen Informationstechnik; Nr. 3).

Aggregation Operator Based Fuzzy Pattern Classifier Design

Abstract

Konference

AUB Link

Fingeraftryk

Citationsformater