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Author Asbjornsen, O.A.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1995
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Quality assurance ♦ Uncertainty ♦ Mathematical model ♦ Modeling ♦ Predictive models ♦ Systems engineering and theory ♦ Probability density function ♦ Linear regression ♦ Stochastic processes ♦ Quality control
Abstract The life cycle analyst in systems engineering and environmental engineering is associated with large uncertainties, being of a forecasting or predictive nature. Various approaches are used to estimate trends in the life cycle, either by its probabilistic nature or by fuzzy variables. Regardless of the approach, the models are used for decision support and need to be assured and controlled for their quality in describing the real situation. This paper draws attention to this problem, and suggests methods for cross-checking simulation models, by various methods based on underlying fundamental principles, asymptotic conditions, average properties, submodel interrelations, etc. A generic systems engineering principles approach is used in developing the model of the life cycle. This approach is based on analyses and justifications of needs and a definition of requirements for the model and its simulation results.
Description Author affiliation: SMART Int. Corp., Trondheim, Norway (Asbjornsen, O.A.)
ISBN 0818671262
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1995-09-17
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 645.69 kB
Page Count 6
Starting Page 252
Ending Page 257

Source: IEEE Xplore Digital Library