A solution for generalized eigen fuzzy sets equations by genetic algorithms and its application to image analysis

Hajime Nobuhara; Eduarde Masato Iyoda; Barnabas Bede; Kaoru Hirota

doi:10.1109/is.2004.1344668

A solution for generalized eigen fuzzy sets equations by genetic algorithms and its application to image analysis

Hajime Nobuhara^*, Eduarde Masato Iyoda, Barnabas Bede, Kaoru Hirota

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

For image analysis based on ordered structure, generalized eigen fuzzy equations are proposed by a convex combination of max-min and min-max composite eigen fuzzy sets equations. In order to find solutions of the generalized eigen fuzzy sets equation, a solving method based on genetic algorithm is proposed. Through experiments using test images extracted from 'View Sphere Database', flexibility of the proposed solution for the generalized eigen fuzzy equations is confirmed.

Original language	English
Title of host publication	2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	208-212
Number of pages	5
ISBN (Print)	0780382781, 9780780382787
DOIs	https://doi.org/10.1109/is.2004.1344668
Publication status	Published - 2004
Externally published	Yes
Event	2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings - Varna, Bulgaria Duration: 22 Jun 2004 → 24 Jun 2004

Publication series

Name	2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings
Volume	1

Conference

Conference	2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings
Country/Territory	Bulgaria
City	Varna
Period	22/06/04 → 24/06/04

Keywords

Convex Combination
Eigen Fuzzy Sets
Fuzzy Relation
Image Analysis

Access to Document

10.1109/is.2004.1344668

Cite this

Nobuhara, H., Iyoda, E. M., Bede, B., & Hirota, K. (2004). A solution for generalized eigen fuzzy sets equations by genetic algorithms and its application to image analysis. In 2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings (pp. 208-212). (2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/is.2004.1344668

Nobuhara, Hajime ; Iyoda, Eduarde Masato ; Bede, Barnabas et al. / A solution for generalized eigen fuzzy sets equations by genetic algorithms and its application to image analysis. 2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2004. pp. 208-212 (2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings).

@inproceedings{b7d5bb7046b54ea48d7b16355d8622c3,

title = "A solution for generalized eigen fuzzy sets equations by genetic algorithms and its application to image analysis",

abstract = "For image analysis based on ordered structure, generalized eigen fuzzy equations are proposed by a convex combination of max-min and min-max composite eigen fuzzy sets equations. In order to find solutions of the generalized eigen fuzzy sets equation, a solving method based on genetic algorithm is proposed. Through experiments using test images extracted from 'View Sphere Database', flexibility of the proposed solution for the generalized eigen fuzzy equations is confirmed.",

keywords = "Convex Combination, Eigen Fuzzy Sets, Fuzzy Relation, Image Analysis",

author = "Hajime Nobuhara and Iyoda, {Eduarde Masato} and Barnabas Bede and Kaoru Hirota",

year = "2004",

doi = "10.1109/is.2004.1344668",

language = "English",

isbn = "0780382781",

series = "2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "208--212",

booktitle = "2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings",

address = "United States",

note = "2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings ; Conference date: 22-06-2004 Through 24-06-2004",

}

Nobuhara, H, Iyoda, EM, Bede, B & Hirota, K 2004, A solution for generalized eigen fuzzy sets equations by genetic algorithms and its application to image analysis. in 2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings. 2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 208-212, 2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings, Varna, Bulgaria, 22/06/04. https://doi.org/10.1109/is.2004.1344668

A solution for generalized eigen fuzzy sets equations by genetic algorithms and its application to image analysis. / Nobuhara, Hajime; Iyoda, Eduarde Masato; Bede, Barnabas et al.
2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2004. p. 208-212 (2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A solution for generalized eigen fuzzy sets equations by genetic algorithms and its application to image analysis

AU - Nobuhara, Hajime

AU - Iyoda, Eduarde Masato

AU - Bede, Barnabas

AU - Hirota, Kaoru

PY - 2004

Y1 - 2004

N2 - For image analysis based on ordered structure, generalized eigen fuzzy equations are proposed by a convex combination of max-min and min-max composite eigen fuzzy sets equations. In order to find solutions of the generalized eigen fuzzy sets equation, a solving method based on genetic algorithm is proposed. Through experiments using test images extracted from 'View Sphere Database', flexibility of the proposed solution for the generalized eigen fuzzy equations is confirmed.

AB - For image analysis based on ordered structure, generalized eigen fuzzy equations are proposed by a convex combination of max-min and min-max composite eigen fuzzy sets equations. In order to find solutions of the generalized eigen fuzzy sets equation, a solving method based on genetic algorithm is proposed. Through experiments using test images extracted from 'View Sphere Database', flexibility of the proposed solution for the generalized eigen fuzzy equations is confirmed.

KW - Convex Combination

KW - Eigen Fuzzy Sets

KW - Fuzzy Relation

KW - Image Analysis

UR - http://www.scopus.com/inward/record.url?scp=8844239158&partnerID=8YFLogxK

U2 - 10.1109/is.2004.1344668

DO - 10.1109/is.2004.1344668

M3 - Conference contribution

AN - SCOPUS:8844239158

SN - 0780382781

SN - 9780780382787

T3 - 2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings

SP - 208

EP - 212

BT - 2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings

Y2 - 22 June 2004 through 24 June 2004

ER -

Nobuhara H, Iyoda EM, Bede B, Hirota K. A solution for generalized eigen fuzzy sets equations by genetic algorithms and its application to image analysis. In 2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2004. p. 208-212. (2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings). doi: 10.1109/is.2004.1344668

A solution for generalized eigen fuzzy sets equations by genetic algorithms and its application to image analysis

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