Application of L-Fuzzy Relation to Social Choice Theory

In situations like voting, decisions are made based on individual preferences. The majority rule might not always be the best choice for aggregating individual preferences, and individual preferences may be uncertain or partial. For example, someone may prefer a candidate over another, not absolutely, but only up to a certain degree. The objective research of this proposal is to investigate this kind of L-Fuzzy Social Choice Theory, focusing on mathematically modeling personal preferences with uncertainty. It includes implementing visualizations and computations of the three common approaches for modeling individual preferences. The goal is to provide the most general framework in which these three common models of L-fuzzy preference are equivalent.

Name thesis:degree_name

M.Sc. Computer Science

Level thesis:degree_level

Masters

Discipline thesis:degree_discipline

Faculty of Mathematics and Science

Department dc:contributor.department

Department of Computer Science

Grantor

Brock University

Year dc:date.issued

2024

Author dc:creator

• Osei, Clement Frimpong

• L-Fuzzy Relations
• Social Choice Theory
• Preferences
• Uncertainty
• Mathematical Modeling

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/10464/18774

OAI identifier oai:identifier

oai:brocku.scholaris.ca:10464/18774