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Approximate reasoning based optimization.

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Approximate reasoning based optimization. / Angelov, Plamen.
In: Yugoslav Journal of Operations Research, Vol. 4, No. 1, 1994, p. 11-17.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Angelov, P 1994, 'Approximate reasoning based optimization.', Yugoslav Journal of Operations Research, vol. 4, no. 1, pp. 11-17. <http://scindeks.nb.rs/article.aspx?artid=0354-02439401011A>

APA

Angelov, P. (1994). Approximate reasoning based optimization. Yugoslav Journal of Operations Research, 4(1), 11-17. http://scindeks.nb.rs/article.aspx?artid=0354-02439401011A

Vancouver

Angelov P. Approximate reasoning based optimization. Yugoslav Journal of Operations Research. 1994;4(1):11-17.

Author

Angelov, Plamen. / Approximate reasoning based optimization. In: Yugoslav Journal of Operations Research. 1994 ; Vol. 4, No. 1. pp. 11-17.

Bibtex

@article{fdc8619b565e4c26814be00184a0e182,
title = "Approximate reasoning based optimization.",
abstract = "A new approach to fuzzy optimization is proposed. It is based on application of approximate reasoning categories in order to obtain a more flexible representation of logical aggregation and defuzzification. It allows to design a non-iterative algorithm for fuzzy optimization which surpass the well-known Zimmermann's approach. Bellman-Zadeh' s method can be considered as a special case of the approach proposed here. An illustrative example is presented.",
keywords = "approximate reasoning, fuzzy optimization, aggregation, defuzzification",
author = "Plamen Angelov",
year = "1994",
language = "English",
volume = "4",
pages = "11--17",
journal = "Yugoslav Journal of Operations Research",
issn = "0354-0243",
publisher = "University of Belgrade",
number = "1",

}

RIS

TY - JOUR

T1 - Approximate reasoning based optimization.

AU - Angelov, Plamen

PY - 1994

Y1 - 1994

N2 - A new approach to fuzzy optimization is proposed. It is based on application of approximate reasoning categories in order to obtain a more flexible representation of logical aggregation and defuzzification. It allows to design a non-iterative algorithm for fuzzy optimization which surpass the well-known Zimmermann's approach. Bellman-Zadeh' s method can be considered as a special case of the approach proposed here. An illustrative example is presented.

AB - A new approach to fuzzy optimization is proposed. It is based on application of approximate reasoning categories in order to obtain a more flexible representation of logical aggregation and defuzzification. It allows to design a non-iterative algorithm for fuzzy optimization which surpass the well-known Zimmermann's approach. Bellman-Zadeh' s method can be considered as a special case of the approach proposed here. An illustrative example is presented.

KW - approximate reasoning

KW - fuzzy optimization

KW - aggregation

KW - defuzzification

M3 - Journal article

VL - 4

SP - 11

EP - 17

JO - Yugoslav Journal of Operations Research

JF - Yugoslav Journal of Operations Research

SN - 0354-0243

IS - 1

ER -