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Includes: Endpoint behavioural sensors, Cloud security analytics, Threat intelligence. Westonbirt School Last updated:4th April Maximise visibility and control over potential attacks Last updatedth April The reason you may hear about Pugh matrices and Six Sigma together is because the former brings a lot of value to the latter, though they are not inherently linked.
SIx Sigma methodology preaches the use of a development built to weed out problems. The cycle steps are, in order, define, measure, analyze, improve, control.
Pugh matrices are most important in the defining stage, though they often found their way into the control stage as well. You can see why. What better way to do so than with a decision-matrix? This article is all about Pugh matrices, but the ideas herein are not exclusive to Stuart Pugh. In fact, the idea behind numeric decision-making matrices goes by multiple names.
You should just be aware in case others reference these titles. As stated in the article title, decision matrices are just like Pugh matrices.
They are specific to simple, or unweighted Pughs. They stand in contrast to the following: weighted matrices. They are the same idea in principle. Some weighted matrices have additional weights. For example, you might weigh all criteria by one persepective, then weigh them additionally from another perspective.
The creates multi-level calculations that need to be standardized using a constant or multiplier. This is 0. We then compare to others to see where the weights stand, and reevaluate our response. Options matrix is an umbrella term that covers all kinds of matrices, including weighted pughs, unweighted pughs, double-weighted matrices, and more.
While options matrix is the umbrella term, its also less common. The most important term to be familiar with is Pugh. There are two types of Pugh matrix: Weighted. As the first biomedical engineering program in Western Canada, UVIC Engineering will train you to design technologies that would improve the health care and medical industry.
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