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An extended analytical approach to evaluating monotonic functions of fuzzy numbers

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Standard

An extended analytical approach to evaluating monotonic functions of fuzzy numbers. / Seibel, Arthur; Schlattmann, Josef.
in: Advances in Fuzzy Systems, Jahrgang 2014, 892363, 01.01.2014.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Harvard

Seibel, A & Schlattmann, J 2014, 'An extended analytical approach to evaluating monotonic functions of fuzzy numbers', Advances in Fuzzy Systems, Jg. 2014, 892363. https://doi.org/10.1155/2014/892363

APA

Seibel, A., & Schlattmann, J. (2014). An extended analytical approach to evaluating monotonic functions of fuzzy numbers. Advances in Fuzzy Systems, 2014, Artikel 892363. https://doi.org/10.1155/2014/892363

Vancouver

Seibel A, Schlattmann J. An extended analytical approach to evaluating monotonic functions of fuzzy numbers. Advances in Fuzzy Systems. 2014 Jan 1;2014:892363. doi: 10.1155/2014/892363

Bibtex

@article{89f984d6c480404a82ee298f58d3daa3,
title = "An extended analytical approach to evaluating monotonic functions of fuzzy numbers",
abstract = "This paper presents an extended analytical approach to evaluating continuous, monotonic functions of independent fuzzy numbers. The approach is based on a parametric α-cut representation of fuzzy numbers and allows for the inclusion of parameter uncertainties into mathematical models.",
keywords = "Engineering",
author = "Arthur Seibel and Josef Schlattmann",
year = "2014",
month = jan,
day = "1",
doi = "10.1155/2014/892363",
language = "English",
volume = "2014",
journal = "Advances in Fuzzy Systems",
issn = "1687-7101",
publisher = "John Wiley & Sons Ltd.",

}

RIS

TY - JOUR

T1 - An extended analytical approach to evaluating monotonic functions of fuzzy numbers

AU - Seibel, Arthur

AU - Schlattmann, Josef

PY - 2014/1/1

Y1 - 2014/1/1

N2 - This paper presents an extended analytical approach to evaluating continuous, monotonic functions of independent fuzzy numbers. The approach is based on a parametric α-cut representation of fuzzy numbers and allows for the inclusion of parameter uncertainties into mathematical models.

AB - This paper presents an extended analytical approach to evaluating continuous, monotonic functions of independent fuzzy numbers. The approach is based on a parametric α-cut representation of fuzzy numbers and allows for the inclusion of parameter uncertainties into mathematical models.

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=84897772760&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/01029da0-f8f8-3380-99f3-1f56149b5c81/

U2 - 10.1155/2014/892363

DO - 10.1155/2014/892363

M3 - Journal articles

AN - SCOPUS:84897772760

VL - 2014

JO - Advances in Fuzzy Systems

JF - Advances in Fuzzy Systems

SN - 1687-7101

M1 - 892363

ER -

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DOI

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