Sentence examples for rough function from inspiring English sources

This type of rough function information would give help for the determination of more detailed functions.

In this paper, we first use an example in evidence-based medicine to illustrate how to use Pawlak's rough membership function on numerically characterizing decisions under the circumstances where data are complete.

When using the ABC algorithm, a rough objective function can be selected as described below: begin{array}rcl@ {boldsymbol{Phi}_{opt}} & = & mathop {min }limits_{boldsymbol{bar Phi }}mu (textbf{D}) s.t.

In this theory, a rough membership function makes it possible to distinguish similar feature elements and measures the degree of overlap between a set of experimental values representing a standard (e.g., set of values typically associated with a biomedical abnormality).

We evaluated several algorithms to find best-fit parameters, and encountered a proliferation of local minima embedded in a very rough cost function surface.

Therefore, large variance corresponds with a rough estimated function, and vice versa.

The tradeoff between flexibility and smoothness is controlled by the variance parameter τ j 2. A large variance corresponds with a rough estimated function, and vice versa.

Dawa al-Jihad was a rough but functioning college; as many as two thousand students came to learn engineering, medical technology, and literature, and also to train at jihadi camps that Sayyaf ran.

As will be shown in this paper, one way to overcome this is to construct rough membership functions for covering-based rough sets.

Pawlak's rough membership functions not only give numerical characterizations of Pawlak's rough set approximations, but also establishes the relationships between Pawlak's rough sets and fuzzy sets or probabilistic rough sets.

However, it is noteworthy that Pawlak's rough membership functions have limitations when handling incomplete data that exist widely in the real world.