Sensitivity analysis of the weighted generalized mean aggregation operator and its application to fuzzy signatures

István A. Harmati, Ádám Bukovics, L. Kóczy

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

7 Citations (Scopus)

Abstract

In this paper we give bounds on the changing of the weighted generalized mean in terms of vector norms of the changing of the variables. Applying this result we characterize the sensitivity of fuzzy signatures which equipped with weighted generalized mean operators in their nodes. Finally, a practical example from civil engineering is also examined.

Original languageEnglish
Title of host publicationProceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1327-1332
Number of pages6
ISBN (Electronic)9781479920723
DOIs
Publication statusPublished - Sep 4 2014
Event2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014 - Beijing, China
Duration: Jul 6 2014Jul 11 2014

Other

Other2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014
CountryChina
CityBeijing
Period7/6/147/11/14

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Software
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Harmati, I. A., Bukovics, Á., & Kóczy, L. (2014). Sensitivity analysis of the weighted generalized mean aggregation operator and its application to fuzzy signatures. In Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE (pp. 1327-1332). [6891814] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZ-IEEE.2014.6891814