On the sensitivity of the weighted relevance aggregation operator and its application to fuzzy signatures

István Harmati, L. Kóczy

Research output: Conference contribution

Abstract

The weighted relevance aggregation operator is a modified, flexible version of the general power mean. In this paper we discuss the sensitivity of this operator, namely we give bounds on the change of the output in terms of vector norms of the change of the input variables. We apply these results to characterize to sensitivity of fuzzy signatures which are equipped with these operators in its nodes.

Original languageEnglish
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings
PublisherSpringer Verlag
Pages798-808
Number of pages11
Volume611
ISBN (Print)9783319405803
DOIs
Publication statusPublished - 2016
Event16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016 - Eindhoven, Netherlands
Duration: jún. 20 2016jún. 24 2016

Publication series

NameCommunications in Computer and Information Science
Volume611
ISSN (Print)18650929

Other

Other16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016
CountryNetherlands
CityEindhoven
Period6/20/166/24/16

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ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Harmati, I., & Kóczy, L. (2016). On the sensitivity of the weighted relevance aggregation operator and its application to fuzzy signatures. In Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings (Vol. 611, pp. 798-808). (Communications in Computer and Information Science; Vol. 611). Springer Verlag. https://doi.org/10.1007/978-3-319-40581-0_65

On the sensitivity of the weighted relevance aggregation operator and its application to fuzzy signatures. / Harmati, István; Kóczy, L.

Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings. Vol. 611 Springer Verlag, 2016. p. 798-808 (Communications in Computer and Information Science; Vol. 611).

Research output: Conference contribution

Harmati, I & Kóczy, L 2016, On the sensitivity of the weighted relevance aggregation operator and its application to fuzzy signatures. in Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings. vol. 611, Communications in Computer and Information Science, vol. 611, Springer Verlag, pp. 798-808, 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016, Eindhoven, Netherlands, 6/20/16. https://doi.org/10.1007/978-3-319-40581-0_65
Harmati I, Kóczy L. On the sensitivity of the weighted relevance aggregation operator and its application to fuzzy signatures. In Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings. Vol. 611. Springer Verlag. 2016. p. 798-808. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-40581-0_65
Harmati, István ; Kóczy, L. / On the sensitivity of the weighted relevance aggregation operator and its application to fuzzy signatures. Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings. Vol. 611 Springer Verlag, 2016. pp. 798-808 (Communications in Computer and Information Science).
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