Interval generalized stochastic Petri net models in performance evaluation

被引：0

作者：

Gaidino, Sergio ^{[1
]}

Maciel, Paulo ^{[2
]}

机构：

[1] Univ Catolica Pernambuco, Dept Estatist & Informat, BR-50050900 Recife, PE, Brazil

[2] Univ Fed Pernambuco, Ctr Informat, BR-50732970 Recife, PE, Brazil

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS | 2006年

关键词：

D O I：

10.1109/ICSMC.2006.385285

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Interval arithmetic has been applied to model uncertainties. Generalized Stochastic Petri Net (GSPN) is one of most commonly applied timed Petri net models for performance and reliability evaluation. This paper describes the Interval Generalized Stochastic Petri Net (IGSPN) as an interval extension to the GSPN model. The IGSPN analysis takes into account the effects of variability on exponential transition rates and weights when calculating performance indices. Three case studies are presented for describing the model as well as for presenting the analysis methods. IGSPN analysis for performance evaluation may be useful for engineers and technicians as a tool for decision-making.

引用

页码：2723 / +

页数：2

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