# CPP.rh: CPP with multiple perspectives for human resources evaluation In CPP: Composition of Probabilistic Preferences (CPP)

## Description

This function computes the CPP-rh, using Beta PERT distributions to randomize the decision matrices. The CPP-rh is used to evaluate alternatives by integrating the CPP-Tri, the CPP-Malmquist, the CPP-Gini and the CPP by axes. The CPP-rh and the CPP-mb are very similar, but the CPP-rh does not include the alternatives's market value.

## Usage

 `1` ```CPP.rh(t1, t2, q, s) ```

## Arguments

 `t1` Decision matrix of Alternatives (rows) and Criteria (columns) in the previous moment '1'. Benefit criteria must be positive and cost criteria must be negative. `t2` Decision matrix of Alternatives (rows) and Criteria (columns) in the following moment '2'. Benefit criteria must be positive and cost criteria must be negative. `q` Vector of quantiles, indicating the classes' profiles. `s` Shape of a Beta PERT distribution, as described in the package 'mc2d'. There is no default value, however the higher the shape the higher the kurtosis, which emulates the precision of data.

## Value

Class identifies the alternatives' classes, according to the selected profiles. CPP-RH returns the alternatives' scores per class.

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23``` ```## Decision matrix of the previous moment '1'. Alt.1 = c(2,30,86,-5) Alt.2 = c(4,26,77,-12) Alt.3 = c(3,22,93,-4) Alt.4 = c(6,34,65,-10) Alt.5 = c(5,31,80,-8) Alt.6 = c(6,29,79,-9) Alt.7 = c(8,37,55,-15) Alt.8 = c(10,21,69,-11) t1 = rbind(Alt.1,Alt.2,Alt.3,Alt.4,Alt.5,Alt.6,Alt.7,Alt.8) ## Decision matrix of the following moment '2'. Alt.1 = c(3,29,82,-3) Alt.2 = c(6,28,70,-8) Alt.3 = c(2,20,99,-8) Alt.4 = c(5,31,62,-14) Alt.5 = c(9,27,73,-5) Alt.6 = c(4,33,85,-13) Alt.7 = c(9,39,59,-10) Alt.8 = c(8,19,77,-9) t2 = rbind(Alt.1,Alt.2,Alt.3,Alt.4,Alt.5,Alt.6,Alt.7,Alt.8) q = c(0.65,0.35) # quantiles of class profiles s = 4 # Shape CPP.rh(t1,t2,q,s) ```

CPP documentation built on May 2, 2019, 1:34 p.m.