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Pareto set reduction using fuzzy information. / Noghin, Vladimir D.

Studies in Systems, Decision and Control. Springer Nature, 2018. p. 151-178 (Studies in Systems, Decision and Control; Vol. 126).

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Harvard

Noghin, VD 2018, Pareto set reduction using fuzzy information. in Studies in Systems, Decision and Control. Studies in Systems, Decision and Control, vol. 126, Springer Nature, pp. 151-178. https://doi.org/10.1007/978-3-319-67873-3_7

APA

Noghin, V. D. (2018). Pareto set reduction using fuzzy information. In Studies in Systems, Decision and Control (pp. 151-178). (Studies in Systems, Decision and Control; Vol. 126). Springer Nature. https://doi.org/10.1007/978-3-319-67873-3_7

Vancouver

Noghin VD. Pareto set reduction using fuzzy information. In Studies in Systems, Decision and Control. Springer Nature. 2018. p. 151-178. (Studies in Systems, Decision and Control). https://doi.org/10.1007/978-3-319-67873-3_7

Author

Noghin, Vladimir D. / Pareto set reduction using fuzzy information. Studies in Systems, Decision and Control. Springer Nature, 2018. pp. 151-178 (Studies in Systems, Decision and Control).

BibTeX

@inbook{a4eb8da0f0684a5ea8bc149f1232a514,
title = "Pareto set reduction using fuzzy information",
abstract = "In a series of applications-relevant multicriteria choice problems, the available information about the DM{\textquoteright}s preference relation can be fuzzy in the sense that it is impossible to define explicitly the preference for one alternative rather than another, since there exist the pros and cons of it.",
author = "Noghin, {Vladimir D.}",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-319-67873-3_7",
language = "English",
series = "Studies in Systems, Decision and Control",
publisher = "Springer Nature",
pages = "151--178",
booktitle = "Studies in Systems, Decision and Control",
address = "Germany",

}

RIS

TY - CHAP

T1 - Pareto set reduction using fuzzy information

AU - Noghin, Vladimir D.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - In a series of applications-relevant multicriteria choice problems, the available information about the DM’s preference relation can be fuzzy in the sense that it is impossible to define explicitly the preference for one alternative rather than another, since there exist the pros and cons of it.

AB - In a series of applications-relevant multicriteria choice problems, the available information about the DM’s preference relation can be fuzzy in the sense that it is impossible to define explicitly the preference for one alternative rather than another, since there exist the pros and cons of it.

UR - http://www.scopus.com/inward/record.url?scp=85030788359&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-67873-3_7

DO - 10.1007/978-3-319-67873-3_7

M3 - Chapter

AN - SCOPUS:85030788359

T3 - Studies in Systems, Decision and Control

SP - 151

EP - 178

BT - Studies in Systems, Decision and Control

PB - Springer Nature

ER -

ID: 36884227