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On Multicriteria Choice Based on Type-2 Fuzzy Preference Relation : An Axiomatic Approach. / Noghin, V. D.; Baskov, O. V.

IEEE CIS International Conference on Fuzzy Systems 2021, FUZZ 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (IEEE International Conference on Fuzzy Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Noghin, VD & Baskov, OV 2021, On Multicriteria Choice Based on Type-2 Fuzzy Preference Relation: An Axiomatic Approach. in IEEE CIS International Conference on Fuzzy Systems 2021, FUZZ 2021 - Proceedings. IEEE International Conference on Fuzzy Systems, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE CIS International Conference on Fuzzy Systems, FUZZ 2021, Virtual, Online, Luxembourg, 11/07/21. https://doi.org/10.1109/fuzz45933.2021.9494489

APA

Noghin, V. D., & Baskov, O. V. (2021). On Multicriteria Choice Based on Type-2 Fuzzy Preference Relation: An Axiomatic Approach. In IEEE CIS International Conference on Fuzzy Systems 2021, FUZZ 2021 - Proceedings (IEEE International Conference on Fuzzy Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/fuzz45933.2021.9494489

Vancouver

Noghin VD, Baskov OV. On Multicriteria Choice Based on Type-2 Fuzzy Preference Relation: An Axiomatic Approach. In IEEE CIS International Conference on Fuzzy Systems 2021, FUZZ 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/fuzz45933.2021.9494489

Author

Noghin, V. D. ; Baskov, O. V. / On Multicriteria Choice Based on Type-2 Fuzzy Preference Relation : An Axiomatic Approach. IEEE CIS International Conference on Fuzzy Systems 2021, FUZZ 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (IEEE International Conference on Fuzzy Systems).

BibTeX

@inproceedings{477b127ee81f4b099c3cda7dc1a4b9bf,
title = "On Multicriteria Choice Based on Type-2 Fuzzy Preference Relation: An Axiomatic Approach",
abstract = "A multicriteria choice problem is considered. The setting of this problem includes three objects, namely, a set of feasible alternatives, a numerical vector criterion, and a decision maker's binary strict preference relation. The Edgeworth - Pareto principle is a fundamental instrument to solve multi-criteria problems. Previously, the validity of this principle was established in the case of a crisp as well as a type-1 fuzzy preference relation. We assume that the preference relation is a type-2 fuzzy relation. Under two reasonable axioms the Edgeworth - Pareto principle is established. In accordance with the first axiom, an alternative not chosen in a pair should not be selected from the whole set of feasible alternatives. The second axiom is the Pareto axiom, which provides greater preference for those alternatives that have larger (smaller) values of one or more criteria.",
keywords = "Edgeworth - Pareto principle, multicriteria choice, type-2 fuzzy sets, SETS, Edgeworth-Pareto principle",
author = "Noghin, {V. D.} and Baskov, {O. V.}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE CIS International Conference on Fuzzy Systems, FUZZ 2021 ; Conference date: 11-07-2021 Through 14-07-2021",
year = "2021",
month = jul,
day = "11",
doi = "10.1109/fuzz45933.2021.9494489",
language = "English",
series = "IEEE International Conference on Fuzzy Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE CIS International Conference on Fuzzy Systems 2021, FUZZ 2021 - Proceedings",
address = "United States",

}

RIS

TY - GEN

T1 - On Multicriteria Choice Based on Type-2 Fuzzy Preference Relation

T2 - 2021 IEEE CIS International Conference on Fuzzy Systems, FUZZ 2021

AU - Noghin, V. D.

AU - Baskov, O. V.

N1 - Publisher Copyright: © 2021 IEEE.

PY - 2021/7/11

Y1 - 2021/7/11

N2 - A multicriteria choice problem is considered. The setting of this problem includes three objects, namely, a set of feasible alternatives, a numerical vector criterion, and a decision maker's binary strict preference relation. The Edgeworth - Pareto principle is a fundamental instrument to solve multi-criteria problems. Previously, the validity of this principle was established in the case of a crisp as well as a type-1 fuzzy preference relation. We assume that the preference relation is a type-2 fuzzy relation. Under two reasonable axioms the Edgeworth - Pareto principle is established. In accordance with the first axiom, an alternative not chosen in a pair should not be selected from the whole set of feasible alternatives. The second axiom is the Pareto axiom, which provides greater preference for those alternatives that have larger (smaller) values of one or more criteria.

AB - A multicriteria choice problem is considered. The setting of this problem includes three objects, namely, a set of feasible alternatives, a numerical vector criterion, and a decision maker's binary strict preference relation. The Edgeworth - Pareto principle is a fundamental instrument to solve multi-criteria problems. Previously, the validity of this principle was established in the case of a crisp as well as a type-1 fuzzy preference relation. We assume that the preference relation is a type-2 fuzzy relation. Under two reasonable axioms the Edgeworth - Pareto principle is established. In accordance with the first axiom, an alternative not chosen in a pair should not be selected from the whole set of feasible alternatives. The second axiom is the Pareto axiom, which provides greater preference for those alternatives that have larger (smaller) values of one or more criteria.

KW - Edgeworth - Pareto principle

KW - multicriteria choice

KW - type-2 fuzzy sets

KW - SETS

KW - Edgeworth-Pareto principle

UR - http://www.scopus.com/inward/record.url?scp=85114661664&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/a3b2834a-6a7c-3ff7-a38f-cf1bbff30ff9/

U2 - 10.1109/fuzz45933.2021.9494489

DO - 10.1109/fuzz45933.2021.9494489

M3 - Conference contribution

AN - SCOPUS:85114661664

T3 - IEEE International Conference on Fuzzy Systems

BT - IEEE CIS International Conference on Fuzzy Systems 2021, FUZZ 2021 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 11 July 2021 through 14 July 2021

ER -

ID: 86377179