Consensus Building With Individual Consistency Control in Group Decision Making
International Journal
Year of publication
2019
Volume
27
Pagination
319-332
DOI
10.1109/TFUZZ.2018.2856125
Journal
IEEE Transactions on Fuzzy Systems
Number
2
Date Published
Feb
ISSN Number
1063-6706
URL
https://ieeexplore.ieee.org/document/8410802?arnumber=8410802&source=authoralert
Li, C. -C., et al. «Consensus Building With Individual Consistency Control In Group Decision Making». Feb. Ieee Transactions On Fuzzy Systems, 2, 2019, pp. 319-332.
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A Feedback Mechanism Based on Granular Computing to Improve Consensus in GDM
Keywords
Resumen
Group decision making is an important task in real world activities. It consists in obtaining the best solution to a particular problem according to the opinions given by a set of decision makers. In such a situation, an important issue is the level of consensus achieved among the decision makers before making a decision. For this reason, different feedback mechanisms, which help decision makers for reaching the highest degree of consensus possible, have been proposed in the literature. In this contribution, we present a new feedback mechanism based on granular computing to improve consensus in group decision making problems. Granular computing is a framework of designing, processing, and interpretation of information granules, which can be used to obtain a required flexibility to improve the level of consensus within the group of decision makers.
Year of Publicaion
2018
Book Title
Soft Computing Applications for Group Decision-making and Consensus Modeling
Volume
357
Chapter
A Feedback Mechanism Based on Granular Computing to Improve Consensus in GDM
Pagination
371-390
Publisher
Springer International Publishing
ISBN
978-3-319-60206-6
ISBN Number
"978-3-319-60207-3"
URL
https://doi.org/10.1007/978-3-319-60207-3_22
DOI
10.1007/978-3-319-60207-3_22
Cabrerizo, F. J., et al. «A Feedback Mechanism Based On Granular Computing To Improve Consensus In Gdm». Soft Computing Applications For Group Decision-Making And Consensus Modeling, Springer International Publishing, 2018, pp. 371-390.
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Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts
International Journal
Year of publication
2014
Publisher
Elsevier
Volume
58
Pagination
11-22
DOI
10.1007/s12652-018-0769-4
Journal
Knowledge-based Systems
Date Published
04/2014
Type of Work
article
Mata, F., et al. «Type-1 Owa Methodology To Consensus Reaching Processes In Multi-Granular Linguistic Contexts». 04/2014d. C. Knowledge-Based Systems, Elsevier, 2014, pp. 11-22.
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Primer
Índice de impacto
2,94
Consensus decision models for preferential voting with abstentions
International Journal
Year of publication
2018
Volume
115
Pagination
670-682
DOI
https://doi.org/10.1016/j.cie.2017.12.007
Journal
Computers & Industrial Engineering
ISSN Number
0360-8352
URL
https://www.sciencedirect.com/science/article/pii/S0360835217305739
Gong, Z., et al. «Consensus Decision Models For Preferential Voting With Abstentions». Computers & Industrial Engineering, 2018, pp. 670-682.
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Managing consensus based on leadership in opinion dynamics
International Journal
Year of publication
2017
Volume
397-398
Pagination
187-205
DOI
http://dx.doi.org/10.1016/j.ins.2017.02.052
Journal
Information Sciences
ISSN Number
0020-0255
URL
http://www.sciencedirect.com/science/article/pii/S0020025517305534
Dong, Y., et al. «Managing Consensus Based On Leadership In Opinion Dynamics». Information Sciences, 2017, pp. 187-205.
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Integration of a Consistency Control Module Within a Consensus Model
International Journal
Year of publication
2008
Publisher
World Scientific
Volume
16
Pagination
35-53
Journal
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS)
Number
1
URL
http://www.worldscinet.com/cgi-bin/details.cgi?id=voliss:ijufks_16supp01\&type=toc
Chiclana, F., et al. «Integration Of A Consistency Control Module Within A Consensus Model». International Journal Of Uncertainty, Fuzziness And Knowledge-Based Systems (Ijufks), 1, World Scientific, 2008, pp. 35-53.
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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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A Consensus Support System Model for Group Decision-making Problems with Multi-granular Linguistic Preference Relations
International Journal
Year of publication
2005
Publisher
IEEE
Volume
13
Pagination
644-658
DOI
10.1109/TFUZZ.2005.856561
Journal
IEEE Transactions on Fuzzy Systems
Number
5
Date Published
10/2005
ISSN Number
1063-6706
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1516155\&isnumber=32478
Herrera-Viedma, E., et al. «A Consensus Support System Model For Group Decision-Making Problems With Multi-Granular Linguistic Preference Relations». 10/2005d. C. Ieee Transactions On Fuzzy Systems, 5, IEEE, 2005, pp. 644-658.
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1
Índice de impacto
1,88
An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context
International Journal
Year of publication
2009
Publisher
IEEE
Volume
17
Journal
IEEE Transactions on Fuzzy Systems
Number
2
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=4768682\&isnumber=4808359
Mata, F., et al. «An Adaptive Consensus Support Model For Group Decision-Making Problems In A Multigranular Fuzzy Linguistic Context». Ieee Transactions On Fuzzy Systems, 2, IEEE, 2009.
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A Consensus Support System for Group Decision Making Problems with Heterogeneous Information
Keywords
Year of Publicaion
2008
Book Title
Intelligent Decision Making: An AI-Based Approach
Volume
97
Chapter
A Consensus Support System for Group Decision Making Problems with Heterogeneous Information
Series Volume
Studies in Computational Intelligence
Pagination
229-257
Publisher
Springer, Berlin, Heidelberg
ISBN
978-3-540- 76828-9
URL
http://www.springerlink.com/content/n6h20079833r34k6/fulltext.pdf
DOI
https://doi.org/10.1007/978-3-540-76829-6_9
Mata, F., et al. «A Consensus Support System For Group Decision Making Problems With Heterogeneous Information». Intelligent Decision Making: An Ai-Based Approach, Studies in Computational Intelligence, Springer, Berlin, Heidelberg, 2008, pp. 229-257.
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