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Nechetkie Sistemy i Myagkie Vychisleniya, 2016, Volume 11, Issue 1, Pages 33–56
(Mi fssc3)
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This article is cited in 1 scientific paper (total in 1 paper)
Classification methods of system condition based on soft computing technology
V. I. Arefieva, M. O. Petrovb, A. B. Talalaeva, S. V. Sorokinc, A. V. Yazeninc a CJSC “RTIS VKO”
b 2nd Central Scientific Research Institute of the Russian Defense Ministry
c Tver State University
Abstract:
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.
Received: 19.01.2016 Revised: 05.04.2016
Citation:
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”, Nechetkie Sistemy i Myagkie Vychisleniya, 11:1 (2016), 33–56
Linking options:
https://www.mathnet.ru/eng/fssc3 https://www.mathnet.ru/eng/fssc/v11/i1/p33
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Abstract page: | 405 | Full-text PDF : | 298 | References: | 38 |
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