denorm.data: The data de-normalization

In frbs: Fuzzy Rule-Based Systems for Classification and Regression Tasks

Description

This function is to transform from normalized data into real-valued data.

Usage

denorm.data(dt.norm, range.data, min.scale = 0, max.scale = 1)

Arguments

dt.norm	a matrix (n \times m) of the normalized data.
range.data	a matrix (2 \times n) containing the range of the data, where n is the number of variables, and first and second rows are the minimum and maximum value, respectively.
min.scale	the minimum value within normalization.
max.scale	the maximum value within normalization.

Value

the real-valued data

See Also

norm.data

frbs documentation built on Dec. 16, 2019, 1:19 a.m.