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Decision theoretic approach: in decision making mathematical formulations, the outcome of a decision is not known.
Here, we introduce, along with the related mathematical formulations, the used models for simulating both illumination errors and image noise.
(6) and (7) are just mathematical formulations; the actual assembly process is implemented in a more efficient manner.
There are at least three approaches which are followed [1]. 1. Decision theoretic approach: in decision making mathematical formulations, the outcome of a decision is not known.
Instead of complicated mathematical formulations, the fuzzy logic uses human understandable fuzzy sets and inference rules to obtain the solution that satisfies the desired system objectives.
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For a complete description of their mathematical formulation, the reader is referred to [26, 29].
The mathematical formulation, the numerical implementation and other implementation details are presented herein.
Before we construct the mathematical formulation, the assumptions, indices, parameters, and decision variables are introduced as follows: 1. Assumptions .
In the mathematical formulation, the flow developed in the annuli is assumed as laminar, since Re is selected as ≤50 000.
This article presents the assumptions, the mathematical formulations, and the effectiveness of our model.
The details of the mathematical formulations and the solution procedures are described.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com