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A dynamical model for reaching consensus in group decision making

Authors:

Mario Fedrizzi,

Michele Fedrizzi,

R. A. Marques Pereira,

A. ZoratAuthors Info & Claims

SAC '95: Proceedings of the 1995 ACM symposium on Applied computing

Pages 493 - 496

https://doi.org/10.1145/315891.316074

Published: 26 February 1995 Publication History

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References

[1]

M. Fedrizzi, J. Kacprzyk and S. Zadroiny, An interactive multi-user decision support system for consensus reaching processes using fuzzy logic with linguistic quantifiers, Decision Support Systems, 4 (1988) 313-327.

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[2]

M. Fedrizzi, A fuzzy approach to modeling of consensus in group decisions, A utomazione e Strumentazione, supplement to Nov. issue (1993) 9-13.

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[3]

J. Kacprzyk and M. Fedrizzi, A 'soft' measure of consensus in the setting of partial (fuzzy) preferences, European Journal of Operational Research, 34 (1988) 316-325.

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[4]

J. Kacprzyk and M. Fedrizzi, A humanconsistent degree of consensus based on fuzzy logic with linguistic quantitiers, Mathematical Social Sciences, 18 (1989) 275-290.

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[5]

L. Mich, M. Fedrizzi and L. Gaio, Approximate reasoning in the modeling of consensus in group decisions, In: E.P. Klement and W. Slany eds., Fuzzy Logic in Artificial Intelligence, Lectures Notes in Artificial Intelligence, Vol. 695, Springer-Verlag, Berlin, 1993, 91-102.

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Luukka PCollan MFedrizzi M(2015)A Dynamic Fuzzy Consensus Model with Random Iterative StepsProceedings of the 2015 48th Hawaii International Conference on System Sciences10.1109/HICSS.2015.179(1474-1482)Online publication date: 5-Jan-2015
https://dl.acm.org/doi/10.1109/HICSS.2015.179
Luukka PCollan MFedrizzi M(2015)Consensus Modeling under Fuzziness – A Dynamic Approach with Random Iterative StepsGranular Computing and Decision-Making10.1007/978-3-319-16829-6_8(195-218)Online publication date: 2015
https://doi.org/10.1007/978-3-319-16829-6_8
Fu CHuhns MYang S(2014)A consensus framework for multiple attribute group decision analysis in an evidential reasoning contextInformation Fusion10.1016/j.inffus.2011.12.00217(22-35)Online publication date: 1-May-2014
https://dl.acm.org/doi/10.1016/j.inffus.2011.12.002
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A dynamical model for reaching consensus in group decision making

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Abstract
Consensus in group decision making requires discussion and deliberation between the group members with the aim to reach a decision that reflects the opinions of every group member in order for it to be acceptable by everyone. ...
Consensus-based decision support for multicriteria group decision making

Consensus decision making is complex and challenging in multicriteria group decision making due to the involvement of several decision makers, the presence of multiple, and often conflicting criteria, and the existence of subjectiveness and imprecision ...

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Published In

SAC '95: Proceedings of the 1995 ACM symposium on Applied computing

February 1995

604 pages

ISBN:0897916581

DOI:10.1145/315891

Chairmen:
Jim Hightower
California State Univ.-Fullerton, Fullerton, CA
,
Ed Deaton
Hope College, Holland, MI
,
Editors:
K. M. George
Oklahoma State Univ., Stillwater, OK
,
Janice Carroll
Sam Houston State Univ., Huntsville, TX
,
Dave Oppenheim
ACM Local Activities Board

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 February 1995

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SAC95

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SAC95: 1995 Symposium on Applied Computing

February 26 - 28, 1995

Tennessee, Nashville, USA

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

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Luukka PCollan MFedrizzi M(2015)A Dynamic Fuzzy Consensus Model with Random Iterative StepsProceedings of the 2015 48th Hawaii International Conference on System Sciences10.1109/HICSS.2015.179(1474-1482)Online publication date: 5-Jan-2015
https://dl.acm.org/doi/10.1109/HICSS.2015.179
Luukka PCollan MFedrizzi M(2015)Consensus Modeling under Fuzziness – A Dynamic Approach with Random Iterative StepsGranular Computing and Decision-Making10.1007/978-3-319-16829-6_8(195-218)Online publication date: 2015
https://doi.org/10.1007/978-3-319-16829-6_8
Fu CHuhns MYang S(2014)A consensus framework for multiple attribute group decision analysis in an evidential reasoning contextInformation Fusion10.1016/j.inffus.2011.12.00217(22-35)Online publication date: 1-May-2014
https://dl.acm.org/doi/10.1016/j.inffus.2011.12.002
Fedrizzi MFedrizzi MPereira RBrunelli M(2010)The Dynamics of Consensus in Group Decision Making: Investigating the Pairwise Interactions between Fuzzy PreferencesPreferences and Decisions10.1007/978-3-642-15976-3_10(159-182)Online publication date: 2010
https://doi.org/10.1007/978-3-642-15976-3_10
Mianabadi HAfshar A(2009)Fuzzy Group Decision Making to Select the Best Alternative for Development of Groundwater ResourcesProceedings of the 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 0310.1109/FSKD.2009.845(307-311)Online publication date: 14-Aug-2009
https://dl.acm.org/doi/10.1109/FSKD.2009.845
Ben-Arieh DChen Z(2006)Linguistic group decision-makingFuzzy Optimization and Decision Making10.1007/s10700-006-0017-95:4(371-386)Online publication date: 1-Oct-2006
https://dl.acm.org/doi/10.1007/s10700-006-0017-9
Pereira RPasi G(1997)A relevance feedback model based on soft consensus dynamicsProceedings of 6th International Fuzzy Systems Conference10.1109/FUZZY.1997.619462(1221-1225)Online publication date: 1997
https://doi.org/10.1109/FUZZY.1997.619462

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An attitude-driven web consensus support system for heterogeneous group decision making

On dynamic consensus processes in group decision making problems

Consensus-based decision support for multicriteria group decision making