A Fuzzy-set based formulation for minimum cost consensus models
International Journal
Year of publication
2023
Author
Diego García-Zamora
Bapi Dutta
Álvaro Labella
Luis Martínez
Volume
181
Pagination
109295
Keywords
minimum cost consensus
fuzzy set theory
E-democracy
Personnel selection
Brand reputation
Green supplier selection
DOI
https://doi.org/10.1016/j.cie.2023.109295
Journal
Computers & Industrial Engineering
ISSN Number
0360-8352
URL
https://www.sciencedirect.com/science/article/pii/S0360835223003194
García-Zamora, D., et al. “A Fuzzy-Set Based Formulation For Minimum Cost Consensus Models”. Computers & Industrial Engineering, 2023, p. 109295.
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Fuzzy Rank Acceptability Analysis: A Confidence Measure of Ranking Fuzzy Numbers
International Journal
Year of publication
2018
Author
Boris Yatsalo
Luis Martínez
Volume
26
Issue
6
Pagination
3579-3593
Keywords
uncertainty
Zinc
Fuzzy sets
Indexes
fuzzy set theory
Proposals
Analytical models
Fuzzy Numbers
Ranking Fuzzy Numbers
Fuzzy preference relations
Intransitivity
DOI
10.1109/TFUZZ.2018.2838063
Journal
IEEE Transactions on Fuzzy Systems
ISSN Number
1063-6706
Yatsalo, B., and L. Martínez. “Fuzzy Rank Acceptability Analysis: A Confidence Measure Of Ranking Fuzzy Numbers”. Ieee Transactions On Fuzzy Systems, 2018, pp. 3579-3593.
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Q1
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A Consensus Model to Detect and Manage Non-Cooperative Behaviors in Large Scale Group Decision Making
International Journal
Year of publication
2014
Author
Iván Palomares
Luis Martínez
Francisco Herrera
Publisher
IEEE
Volume
22
Pagination
516-530
Keywords
behavioural sciences
distributed decision-making
fuzzy set theory
pattern clustering
self-organising feature maps
Proyecto
TIN2009-08286
Aplicación
http://online.qmags.com/CIG1114?sessionID=5165127EBEF544AC9B5B8B720&cid=2663451&eid=18968#pg1&mode2
Journal
IEEE Transactions on Fuzzy Systems
Number
3
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6516937
Palomares, I., et al. “A Consensus Model To Detect And Manage Non-Cooperative Behaviors In Large Scale Group Decision Making”. Ieee Transactions On Fuzzy Systems, 3, IEEE, 2014, pp. 516-530.
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