Associative aggregation functions representing different scale types

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In aggregation problems different types of information items can occur. In spite of such diversity, it is possible to reinterpret them approximately in a unique formal setting by means of profiles: an extension of fuzzy set membership functions. Then the original aggregation problem can be modelled by an appropriate profile aggregation. Therefore, in this paper we concentrate on and reconsider some aggregation operators used especially in fuzzy logic. This view is based on the specific role that the same range - the closed unit interval - plays according to different interpretations. On one hand, triangular norms are capable of reflecting the closed unit interval as a negative scale, while triangular conorms interpret it as a positive scale. Both scales are unipolar. On the other hand, uninorms and nullnorms represent a bipolar scale interpretation of the same closed unit interval.

Original languageEnglish
Title of host publicationICCC 2009 - IEEE 7th International Conference on Computational Cybernetics
Pages39-43
Number of pages5
DOIs
Publication statusPublished - Dec 1 2009
EventIEEE 7th International Conference on Computational Cybernetics, ICCC 2009 - Palma de Mallorca, Spain
Duration: Nov 26 2009Nov 29 2009

Publication series

NameICCC 2009 - IEEE 7th International Conference on Computational Cybernetics

Other

OtherIEEE 7th International Conference on Computational Cybernetics, ICCC 2009
CountrySpain
CityPalma de Mallorca
Period11/26/0911/29/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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    Fodor, J., & Rudas, I. J. (2009). Associative aggregation functions representing different scale types. In ICCC 2009 - IEEE 7th International Conference on Computational Cybernetics (pp. 39-43). [5393935] (ICCC 2009 - IEEE 7th International Conference on Computational Cybernetics). https://doi.org/10.1109/ICCCYB.2009.5393935