Minkowski's inequality based sensitivity analysis of fuzzy signatures

István Harmati, Ádám Bukovics, L. Kóczy

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Fuzzy signatures were introduced as special tools to describe and handle complex systems without their detailed mathematical models. The input parameters of these systems naturally have uncertainties, due to human activities or lack of precise data. These uncertainties influence the final conclusion or decision about the system. In this paper we discuss the sensitivity of the weigthed general mean aggregation operator to the uncertainty of the input values, then we analyse the sensitivity of fuzzy signatures equipped with these aggregation operators. Finally, we apply our results to a fuzzy signature used in civil enginnering.

Original languageEnglish
Pages (from-to)219-229
Number of pages11
JournalJournal of Artificial Intelligence and Soft Computing Research
Volume6
Issue number4
DOIs
Publication statusPublished - 2016

Fingerprint

Minkowski's inequality
Sensitivity analysis
Sensitivity Analysis
Aggregation Operators
Signature
Uncertainty
Agglomeration
Large scale systems
Complex Systems
Mathematical Model
Mathematical models

Keywords

  • Aggregation operators
  • Building diagnostics
  • Fuzzy signatures
  • Generalized mean
  • Sensitivity analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems
  • Modelling and Simulation

Cite this

Minkowski's inequality based sensitivity analysis of fuzzy signatures. / Harmati, István; Bukovics, Ádám; Kóczy, L.

In: Journal of Artificial Intelligence and Soft Computing Research, Vol. 6, No. 4, 2016, p. 219-229.

Research output: Contribution to journalArticle

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