University of Hertfordshire

Modification of fuzzy c-means method using a nonlinear vector criterion

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Modification of fuzzy c-means method using a nonlinear vector criterion. / Bulat, A. F.; Kiseleva, E. M.; Pichugov, S. A.; Blyuss, O. B.

In: Journal of Automation and Information Sciences, Vol. 42, No. 12, 30.12.2010, p. 13-21.

Research output: Contribution to journalArticlepeer-review

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Bulat, A. F. ; Kiseleva, E. M. ; Pichugov, S. A. ; Blyuss, O. B. / Modification of fuzzy c-means method using a nonlinear vector criterion. In: Journal of Automation and Information Sciences. 2010 ; Vol. 42, No. 12. pp. 13-21.

Bibtex

@article{fdcec9addc764d3aa11df805ae2c3af3,
title = "Modification of fuzzy c-means method using a nonlinear vector criterion",
abstract = "The proposed new vector criterion improves the results obtained based on the fuzzy c-means method. The possibility to apply the proposed vector criterion to fuzzy clustering problems is substantiated. The appropriate algorithm is constructed to allow one to perform clustering of rocks based on a predictive estimate of outburst hazard degree.",
keywords = "Clustering problem, Fuzzy c-means method, Outburst hazard degree., Predictive estimate, Rock clustering",
author = "Bulat, {A. F.} and Kiseleva, {E. M.} and Pichugov, {S. A.} and Blyuss, {O. B.}",
year = "2010",
month = dec,
day = "30",
doi = "10.1615/JAutomatInfScien.v42.i12.20",
language = "English",
volume = "42",
pages = "13--21",
journal = "Journal of Automation and Information Sciences",
issn = "1064-2315",
publisher = "Begell House Inc.",
number = "12",

}

RIS

TY - JOUR

T1 - Modification of fuzzy c-means method using a nonlinear vector criterion

AU - Bulat, A. F.

AU - Kiseleva, E. M.

AU - Pichugov, S. A.

AU - Blyuss, O. B.

PY - 2010/12/30

Y1 - 2010/12/30

N2 - The proposed new vector criterion improves the results obtained based on the fuzzy c-means method. The possibility to apply the proposed vector criterion to fuzzy clustering problems is substantiated. The appropriate algorithm is constructed to allow one to perform clustering of rocks based on a predictive estimate of outburst hazard degree.

AB - The proposed new vector criterion improves the results obtained based on the fuzzy c-means method. The possibility to apply the proposed vector criterion to fuzzy clustering problems is substantiated. The appropriate algorithm is constructed to allow one to perform clustering of rocks based on a predictive estimate of outburst hazard degree.

KW - Clustering problem

KW - Fuzzy c-means method

KW - Outburst hazard degree.

KW - Predictive estimate

KW - Rock clustering

UR - http://www.scopus.com/inward/record.url?scp=78650574659&partnerID=8YFLogxK

U2 - 10.1615/JAutomatInfScien.v42.i12.20

DO - 10.1615/JAutomatInfScien.v42.i12.20

M3 - Article

AN - SCOPUS:78650574659

VL - 42

SP - 13

EP - 21

JO - Journal of Automation and Information Sciences

JF - Journal of Automation and Information Sciences

SN - 1064-2315

IS - 12

ER -