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Aggregating fuzzy implications to measure group consensus

conference contribution
posted on 2013-01-01, 00:00 authored by Gleb BeliakovGleb Beliakov, Simon JamesSimon James, T Calvo
We approach the problem of measuring consensus for a set of real inputs by aggregating the fuzzy implication degrees between each pair of inputs. We compare our operator with existing consensus measures in terms of their satisfaction of desirable properties. The appeal of such an approach lies in the interpretability and flexibility that results from component-wise construction which we modeled on the Bonferroni mean. We also outline some intentions for future research.

History

Event

Fuzzy Systems and NAFIPS. Joint World Congress and Annual Meeting (9th : 2013 : Edmonton, Alberta)

Pagination

1016 - 1021

Publisher

IEEE

Location

Edmonton, Alberta

Place of publication

Piscataway, N.J.

Start date

2013-06-24

End date

2013-06-28

ISBN-13

9781479903474

Language

jpn

Publication classification

E1 Full written paper - refereed

Copyright notice

2013, IEEE

Title of proceedings

IFSA/NAFIPS 2013 : Proceedings of the 9th Joint IFSA World Congress and NAFIPS Annual Meeting

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