Classification methods of system condition based on soft computing technology
Nečetkie sistemy i mâgkie vyčisleniâ, Tome 11 (2016) no. 1, pp. 33-56
Voir la notice de l'article provenant de la source Math-Net.Ru
Classification methods of system condition are
presented. Proposed method are based on soft computing technology.
Possibilities of the approach are demonstrated on model examples.
Keywords:
classification, condition of systems, theory of
possibility, fuzzy sets, fuzzy (possibilistic) variable, fuzzy random
variable, linguistic variable, soft computing, aggregation function.
@article{FSSC_2016_11_1_a2,
author = {V. I. Arefiev and M. O. Petrov and A. B. Talalaev and S. V. Sorokin and A. V. Yazenin},
title = {Classification methods of system condition based on soft computing technology},
journal = {Ne\v{c}etkie sistemy i m\^agkie vy\v{c}isleni\^a},
pages = {33--56},
publisher = {mathdoc},
volume = {11},
number = {1},
year = {2016},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/FSSC_2016_11_1_a2/}
}
TY - JOUR AU - V. I. Arefiev AU - M. O. Petrov AU - A. B. Talalaev AU - S. V. Sorokin AU - A. V. Yazenin TI - Classification methods of system condition based on soft computing technology JO - Nečetkie sistemy i mâgkie vyčisleniâ PY - 2016 SP - 33 EP - 56 VL - 11 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/FSSC_2016_11_1_a2/ LA - ru ID - FSSC_2016_11_1_a2 ER -
%0 Journal Article %A V. I. Arefiev %A M. O. Petrov %A A. B. Talalaev %A S. V. Sorokin %A A. V. Yazenin %T Classification methods of system condition based on soft computing technology %J Nečetkie sistemy i mâgkie vyčisleniâ %D 2016 %P 33-56 %V 11 %N 1 %I mathdoc %U http://geodesic.mathdoc.fr/item/FSSC_2016_11_1_a2/ %G ru %F FSSC_2016_11_1_a2
V. I. Arefiev; M. O. Petrov; A. B. Talalaev; S. V. Sorokin; A. V. Yazenin. Classification methods of system condition based on soft computing technology. Nečetkie sistemy i mâgkie vyčisleniâ, Tome 11 (2016) no. 1, pp. 33-56. http://geodesic.mathdoc.fr/item/FSSC_2016_11_1_a2/