<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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.</p></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.

Minkowski’s Inequality Based Sensitivity Analysis of Fuzzy Signatures

Department of Mathematics and Computational Sciences Széchenyi István University, Egyetem tér 1, 9026 Győr, Hungary

Department of Structural and Geotechnical Engineering Széchenyi István University, Egyetem tér 1, 9026 Győr, Hungary

Department of Automation Széchenyi István University, Egyetem tér 1, 9026 Győr, Hungary Department of Telecommunications and Media Informatics Budapest University of Technology and Economics, Budapest, Hungary

Journal of Artificial Intelligence and Soft Computing Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Minkowski\u2019s Inequality Based Sensitivity Analysis of Fuzzy Signatures"}

Fuzzy signatures were introduced as special tools to describe and handle complex systems without their detailed mathematical models. The input parameters of...

Minkowski’s Inequality Based Sensitivity Analysis of Fuzzy Signatures

Published Online: Aug 10, 2016

Page range: 219 - 229

DOI: https://doi.org/10.1515/jaiscr-2016-0016

Keywords
aggregation operators, generalized mean, sensitivity analysis, fuzzy signatures, building diagnostics

© 2016

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Minkowski’s Inequality Based Sensitivity Analysis of Fuzzy Signatures

Published Online: Aug 10, 2016

Page range: 219 - 229

DOI: https://doi.org/10.1515/jaiscr-2016-0016

Keywordsaggregation operators, generalized mean, sensitivity analysis, fuzzy signatures, building diagnostics

© 2016

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
aggregation operators, generalized mean, sensitivity analysis, fuzzy signatures, building diagnostics