normalize

Normalize the values of Alternatives X Criteria matrix
according to a given Cost - Benefit vector of flags.

Provides a set of functions to implement decision-making systems
based on the W.A.S.P.A.S. method (Weighted Aggregated Sum Product Assessment),
Chakraborty and Zavadskas (2012) <doi:10.5755/j01.eee.122.6.1810>.
So this package offers functions that analyze and validate the
raw data, which must be entered in a determined format;
extract specific vectors and matrices from this raw database;
normalize the input data; calculate rankings by intermediate methods;
apply the lambda parameter for the main method; and a function that does
everything at once. The package has an example database called choppers,
with which the user can see how the input data should be organized so that
everything works as recommended by the decision methods based on multiple
criteria that this package solves. Basically, the data are composed of a set
of alternatives, which will be ranked, a set of choice criteria, a matrix
of values for each Alternative-Criterion relationship, a vector of weights
associated with the criteria, since certain criteria are considered more
important than others, as well as a vector that defines each criterion as
cost or benefit, this determines the calculation formula, as there are those
criteria that we want the highest possible value (e.g. durability)
and others that we want the lowest possible value (e.g. price).

Flavio Barbara

waspasR

Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria
Decision Analysis Solution

Marcos Santos

normalize function

<dl><dt>normalized_matrix</dt>
<dd>A data set object with Alternatives X Criteria
values to be normalized</dd>
<dt>vec_cost_benefit</dt>
<dd>A vector of flags that determines if the criterion
is a Cost or Benefit. Must be same size of Criteria, must contains
just strings initiated with B, b, C or c</dd></dl>

Arguments

normalize() — normalize

<dl>

<dt>normalized_matrix</dt>
<dd>A data set object with Alternatives X Criteria
values to be normalized</dd>


<dt>vec_cost_benefit</dt>
<dd>A vector of flags that determines if the criterion
is a Cost or Benefit. Must be same size of Criteria, must contains
just strings initiated with B, b, C or c</dd>

</dl>

normalize: normalize()

Description

Usage

Value

Arguments