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We propose a new adequacy test and a graphical evaluation tool for nonlinear dynamic models.
This paper develops a novel weakest t-norm (Tω) fuzzy Graphical Evaluation and Review Technique (GERT) simulation technology.
Instead, a graphical evaluation and review technique (GERT) has been recommended for its ability to address probability branches and loops.
These techniques were first proposed by A.A.B. Pritsker, "GERT: Graphical Evaluation and Review Technique," memorandum RM-4973-NASA RM-4973-NASA RM-4973-NASA: The Rand Corp., 2000).
Based on the graphical evaluation and review technique, we first present a novel stochastic network mathematical model for order and cost distribution analysis.
This paper proposes a time-computing model using the Graphical Evaluation and Review Technique (GERT) to analyse concurrent New Product Development (NPD) processes.
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MATLAB ver. 7.0 (Natick, MA, USA), SPSS ver. 9.05 (Chicago, IL, USA), and Microsoft Excel 2007 (Roselle, IL, USA) were used for the statistical and graphical evaluations.
We refrained from conducting inferential analyses and instead present a series of graphical evaluations that show the four separate plots for the quartiles with number of games played (y-axis) relative to the ranking of an athlete in his birth quartile in our sample.
In general, however, graphical evaluations of the data are usually the best place to start.
All numerical and graphical evaluations were based on the software SPSS® (release 12.0 for Windows®).
Care should always be taken with graphical evaluations as the true concentration response relationship can be obscured by hysteresis or with highly variable data.
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