Assessing alternatives of including social robots in urban transport using fuzzy trigonometric operators based decision-making model
International Journal
Year of publication
2023
Volume
194
Pagination
122743
DOI
https://doi.org/10.1016/j.techfore.2023.122743
Journal
Technological Forecasting and Social Change
ISSN Number
0040-1625
URL
https://www.sciencedirect.com/science/article/pii/S0040162523004286
Deveci, M., et al. «Assessing Alternatives Of Including Social Robots In Urban Transport Using Fuzzy Trigonometric Operators Based Decision-Making Model». Technological Forecasting And Social Change, 2023, p. 122743.
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Metaverse integration alternatives of connected autonomous vehicles with self-powered sensors using fuzzy decision making model
International Journal
Year of publication
2023
Volume
642
Pagination
119192
DOI
https://doi.org/10.1016/j.ins.2023.119192
Journal
Information Sciences
ISSN Number
0020-0255
URL
https://www.sciencedirect.com/science/article/pii/S0020025523007776
Gokasar, I., et al. «Metaverse Integration Alternatives Of Connected Autonomous Vehicles With Self-Powered Sensors Using Fuzzy Decision Making Model». Information Sciences, 2023, p. 119192.
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A fuzzy Einstein-based decision support system for public transportation management at times of pandemic
International Journal
Year of publication
2022
Volume
252
Pagination
109414
DOI
https://doi.org/10.1016/j.knosys.2022.109414
Journal
Knowledge-Based Systems
ISSN Number
0950-7051
URL
https://www.sciencedirect.com/science/article/pii/S0950705122007079
Deveci, M., et al. «A Fuzzy Einstein-Based Decision Support System For Public Transportation Management At Times Of Pandemic». Knowledge-Based Systems, 2022, p. 109414 .
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R-sets, Comprehensive Fuzzy Sets Risk Modeling for Risk-based Information Fusion and Decision-making
International Journal
Year of publication
2021
Volume
29
Pagination
385-399
DOI
10.1109/TFUZZ.2019.2955061
Journal
IEEE Transactions on Fuzzy Systems
Number
2
ISSN Number
1941-0034
Seiti, H., et al. «R-Sets, Comprehensive Fuzzy Sets Risk Modeling For Risk-Based Information Fusion And Decision-Making». Ieee Transactions On Fuzzy Systems, 2, 2021, pp. 385-399.
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Type-2 fuzzy envelope of hesitant fuzzy linguistic term set: a new representation model of comparative linguistic expression
International Journal
Year of publication
2019
Volume
27
Issue
12
Pagination
2312-2326
DOI
10.1109/TFUZZ.2019.2898155
Journal
IEEE Transactions on Fuzzy Systems
ISSN Number
1063-6706
URL
https://ieeexplore.ieee.org/document/8637833
Liu, Y., et al. «Type-2 Fuzzy Envelope Of Hesitant Fuzzy Linguistic Term Set: A New Representation Model Of Comparative Linguistic Expression». Ieee Transactions On Fuzzy Systems, 2019, pp. 2312-2326.
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Fuzzy Rank Acceptability Analysis: A Confidence Measure of Ranking Fuzzy Numbers
International Journal
Year of publication
2018
Volume
26
Issue
6
Pagination
3579-3593
DOI
10.1109/TFUZZ.2018.2838063
Journal
IEEE Transactions on Fuzzy Systems
ISSN Number
1063-6706
Yatsalo, B., y 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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Cuartil
Q1
Challenges for Improving Consensus Reaching Process in Collective Decisions
International Journal
Year of publication
2007
Publisher
World Scientific
Volume
3
Pagination
1-15
Journal
New Mathematics and Natural Computation
Number
2
URL
http://www.worldscinet.com/cgi-bin/details.cgi?type=html\&id=pii:S1793005707000720
Martínez, L., y J. Montero. «Challenges For Improving Consensus Reaching Process In Collective Decisions». New Mathematics And Natural Computation, 2, World Scientific, 2007, pp. 1-15.
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Dealing with Heterogeneous Information in Engineering Evaluation Processes
International Journal
Year of publication
2007
Publisher
Elsevier
Volume
177
Pagination
1533-1542
Journal
Information Sciences
Number
7
URL
http://www.sciencedirect.com/science/article/pii/S0020025506001976
Martínez, L., et al. «Dealing With Heterogeneous Information In Engineering Evaluation Processes». Information Sciences, 7, Elsevier, 2007, pp. 1533-1542.
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Upgrading Ideas about the Concept of Soft Computing
International Journal
Year of publication
2010
Publisher
Atlantis Press
Volume
3
Pagination
144-147
Proyecto
TIN2009-08286
Journal
International Journal of Computational Intelligence Systems
Number
2
URL
http://www.atlantis-press.com/publications/ijcis/
Montero, J., y L. Martínez. «Upgrading Ideas About The Concept Of Soft Computing». International Journal Of Computational Intelligence Systems, 2, Atlantis Press, 2010, pp. 144-147.
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Using Computing with Words for Managing Non-cooperative Behaviors in Large Scale Group Decision Making
Resumen
Normally, in group decision making problems, groups are composed by individuals or experts with different goals and points of view. For these reasons, they may adopt distinct behaviors in order to achieve their own aims. Nonetheless, in such problems in general, specially those demanding a certain degree of consensus, each expert should comply with a collaboration contract in order to find a common solution for the decision problem.When decision groups are small, all experts usually attempt to fulfill the collaboration contract. However, nowadays technologies such as social media allow to make consensus-driven decisions with larger groups, in which many experts are involved, hence the possibility that some of them try to break the collaboration contract might be greater. In order to prevent the group solution from being biased by these experts, it is necessary to detect and manage their non-cooperative behaviors in this kind of problems. Recent proposals in the literature suggest managing non-cooperative behavior by reducing the importance of expert opinions. These proposals present drawbacks such as, the inability of an expert to recover his/her importance if behavior improves; and the lack of experts behavior measures across the time. This chapter introduces a methodology based on fuzzy sets and computing with words, with the aim of identifying and managing those experts whose behavior does not contribute to reach an agreement in consensus reaching processes. Such a methodology is characterized by allowing the importance recovery of experts and taking into account the evolution of their behavior across the time.
Year of Publicaion
2015
Volume
10
Pagination
97-121
Publisher
Springer International Publishing
ISBN Number
978-3-319-16828-9
URL
http://dx.doi.org/10.1007/978-3-319-16829-6_5
DOI
10.1007/978-3-319-16829-6_5
Quesada, F. J., et al. Using Computing With Words For Managing Non-Cooperative Behaviors In Large Scale Group Decision Making. Springer International Publishing, 2015, pp. 97-121.
Book Chapter
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