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Opportunities of Fuzzy Voting in Decision-Making and Negotiation Techniques in Municipal and Regional Contexts

descriptionPublicationkeyboard_double_arrow_right Article 24 Jun 2024 Switzerland Publisher:IEEEJournal:2024 Tenth International Conference on eDemocracy & eGovernment (ICEDEG)
Authors: Emmenegger, Benjamin; Georgiana, Bigea; Portmann, Edy;

doi: 10.1109/icedeg61611.2024.10702075 , 10.5281/zenodo.14761762 , 10.5281/zenodo.14761763

Opportunities of Fuzzy Voting in Decision-Making and Negotiation Techniques in Municipal and Regional Contexts

Abstract

Fuzzy voting methods were used and qualitative information was processed in three different decision-making and negotiation processes. The voting was sometime proceeded digitally with mock-up software. After a short theoretical introduction to decision-making, negotiation techniques and fuzzy voting, the practical regional and municipal projects and use of fuzzy voting are presented. Some comparisons are then made and opportunities and risks are formulated based on the results.

+ ID der Publikation: hslu_106220 + Art des Beitrages: Wissenschaftliche Medien + Sprache: Deutsch + Letzte Aktualisierung: 2025-01-29 11:23:18

Country
Switzerland
Related Organizations
Keywords

fuzzy voting, eParticipation, negotiating principles, decision making

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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