A novel fuzzy evaluation method to evaluate the reliability of FIN

Author

Hehong, Fan ; Xiaohan, Sun ; Mingde, Zhang

Author_Institution

Dept. of Electron. Eng., Southeast Univ., Nanjing, China

Volume

2

fYear

2002

fDate

25-28 Nov. 2002

Firstpage

1247

Abstract

Based on fuzzy theory, we present the novel concept that a complex system should be described with multiple state linguistic terms (SLT). A network performability index given, the reliability indices of the object with multiple working-state are defined for the first time. On the grounds of linguistic cloud model (LCM), a fuzzy evaluation method for the network reliability is introduced. The method is used to examine the reliability of the fiber industry network (FIN) by way of Monte Carlo simulations. The results for FIN show that the method is efficient for reliability evaluation of industrial control networks thus can be used as a tool to design highly reliable industry networks.

Keywords

Monte Carlo methods; computer network reliability; fuzzy control; industrial control; large-scale systems; optical fibre networks; FIN; MWSO; Monte Carlo simulations; SLT; STCS; complex system; fiber industry network; fuzzy evaluation method; fuzzy theory; industrial control networks; linguistic cloud model; multiple state linguistic terms; multiple working-state objects; network performability index; network reliability; reliability indices; state term cloud series; Availability; Clouds; Fuzzy systems; Industrial control; Performance analysis; Performance evaluation; Reliability engineering; Reliability theory; Sun; Telecommunication network reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems, 2002. ICCS 2002. The 8th International Conference on

Print_ISBN

0-7803-7510-6

Type

conf

DOI

10.1109/ICCS.2002.1183333

Filename

1183333