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The aim of these control design methodologies is to define a fuzzy controller from a fuzzy Takagi-Sugeno model of the process to control.

The main purpose of empirical statistical research methodologies is to empirically verify theoretical relationships in larger populations from actual practices for reducing the number of relationships for future application [283, 297].

The purpose of requirements engineering methodologies is to make the problem that is being stated clear and complete, and to ensure that the solution is correct, reasonable, and effective.

The final goal of diffusion-distance-based methodologies is to reduce the complexity of a given dataset while retaining original geometry as much as possible.

The basic idea for both these methodologies is to assign for each gene a correlation statistic of the gene with the phenotype analogous to the correlation of the phenotype with expression level of a gene in GSEA.

A common requirement of these methodologies is to understand the existing system before attempting to implement improvement strategies: "Before improvements can be identified for a process, the process's anatomy, or steps, must be understood" [ 6].

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"Our whole methodology is to use regular ingredients in a simple way".

But he's reluctant to second-guess the students: "The methodology is to empower them; they are the protagonists.

The methodology is to divide the composer's output into formal categories, then to attach adjectives to each major work in sequence.

Seeker's methodology is to perform runtime analysis of code executed in order to identify security flaws in the application.

Next step as per proposed methodology is to check whether output can be improved or not.

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