# 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

 1 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

norm.data