Contemporary Mathematics and Its Applications, Tome 95 (2015), pp. 90-93
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M. V. Koroteev; P. V. Terelyanskii; V. A. Ivanyuk. Approximation of series of expert preferences by dynamical fuzzy numbers. Contemporary Mathematics and Its Applications, Tome 95 (2015), pp. 90-93. http://geodesic.mathdoc.fr/item/CMA_2015_95_a9/
@article{CMA_2015_95_a9,
author = {M. V. Koroteev and P. V. Terelyanskii and V. A. Ivanyuk},
title = {Approximation of series of expert preferences by dynamical fuzzy numbers},
journal = {Contemporary Mathematics and Its Applications},
pages = {90--93},
year = {2015},
volume = {95},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/CMA_2015_95_a9/}
}
TY - JOUR
AU - M. V. Koroteev
AU - P. V. Terelyanskii
AU - V. A. Ivanyuk
TI - Approximation of series of expert preferences by dynamical fuzzy numbers
JO - Contemporary Mathematics and Its Applications
PY - 2015
SP - 90
EP - 93
VL - 95
UR - http://geodesic.mathdoc.fr/item/CMA_2015_95_a9/
LA - ru
ID - CMA_2015_95_a9
ER -
%0 Journal Article
%A M. V. Koroteev
%A P. V. Terelyanskii
%A V. A. Ivanyuk
%T Approximation of series of expert preferences by dynamical fuzzy numbers
%J Contemporary Mathematics and Its Applications
%D 2015
%P 90-93
%V 95
%U http://geodesic.mathdoc.fr/item/CMA_2015_95_a9/
%G ru
%F CMA_2015_95_a9
In this paper, we consider a method of formalization of time series of arbitrary expert assessments under uncertainty conditions using both approximation and fuzzy arithmetic. We present basic definitions and a numerical example of calculation of fuzzy measures and propose comparative analysis of advantages and disadvantages of this method.
