Aggregating fuzzy implications to measure group consensus

Beliakov, Gleb, James, Simon and Calvo, Tomasa 2013, Aggregating fuzzy implications to measure group consensus, in IFSA/NAFIPS 2013 : Proceedings of the 9th Joint IFSA World Congress and NAFIPS Annual Meeting, IEEE, Piscataway, N.J., pp. 1016-1021.

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Title Aggregating fuzzy implications to measure group consensus
Author(s) Beliakov, Gleb
James, Simon
Calvo, Tomasa
Conference name Fuzzy Systems and NAFIPS. Joint World Congress and Annual Meeting (9th : 2013 : Edmonton, Alberta)
Conference location Edmonton, Alberta
Conference dates 24-28 Jun. 2013
Title of proceedings IFSA/NAFIPS 2013 : Proceedings of the 9th Joint IFSA World Congress and NAFIPS Annual Meeting
Editor(s) [Unknown]
Publication date 2013
Conference series Joint IFSA World Congress and NAFIPS Annual Meeting
Start page 1016
End page 1021
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Summary 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.
ISBN 9781479903474
Language jpn
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2013, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30058799

Document type: Conference Paper
Collection: School of Information Technology
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