Classification methods of system condition based on soft computing technology
Nečetkie sistemy i mâgkie vyčisleniâ, Tome 11 (2016) no. 1, pp. 33-56

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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.
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     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},
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     year = {2016},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/FSSC_2016_11_1_a2/}
}
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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/