Publications in Scientific Journals:
L. Kovarova, R. Viertl:
"The Generation of Fuzzy Sets and the Construction of Characterizing Functions of Fuzzy Data";
Iranian Journal of Fuzzy Systems,
Volume 12, Article 2
(2015),
Issue 6, December;
1
- 16.
English abstract:
Measurement results contain different kinds of uncertainty. Besides systematic errors and random errors individual measurement results are also subject to another type of uncertainty, so-called emph{fuzziness}. It turns out that special fuzzy subsets of the set of real numbers $RR$ are useful to model fuzziness of measurement results. These fuzzy subsets $x^*$ are called emph{fuzzy numbers}. The membership functions of fuzzy numbers have to be determined. In the paper first a characterization of membership function is given, and after that methods to obtain special membership functions of fuzzy numbers, so-called emph{characterizing functions} describing
measurement results are treated.
Keywords:
Characterizing function Fuzzy data Generating families Measurement results Vector-characterizing function
Electronic version of the publication:
http://ijfs.usb.ac.ir/article_2175_296.html
Created from the Publication Database of the Vienna University of Technology.