org.beast.gui.input.helpers

Class AHPMath

java.lang.Object

org.beast.gui.input.helpers.AHPMath

public class AHPMath
extends java.lang.Object

Class to calculate the criteria weights based on Analytical Hierarchy Process (AHP). based on https://github.com/bogacz/AHP/blob/master/src/main/java/pl/bogaczm/ahp/AHPMath.java and https://github.com/PhilipGriffith/AHP

Author:

jthiele

Constructor Summary

Constructors

Constructor and Description
AHPMath()

Method Summary

Modifier and Type	Method and Description
static double	calculateConsistencyIndex(org.apache.commons.math3.linear.RealMatrix matrix) Method calculate consistency index of matrix
static double	calculateConsistencyRatio(org.apache.commons.math3.linear.RealMatrix matrix) Method calculate consistency ratio of matrix
static org.apache.commons.math3.linear.RealVector	calculatePriorityVectorOfMatrix_new(org.apache.commons.math3.linear.RealMatrix matrix) Method to calculate priority vector (weights).
static org.apache.commons.math3.linear.RealVector	calculatePriorityVectorOfMatrix_new(org.apache.commons.math3.linear.RealMatrix matrix, int shape, int iterations, org.apache.commons.math3.linear.RealVector comp_eigenvector) Method to calculate priority vector (weights).
static org.apache.commons.math3.linear.RealVector	calculatePriorityVectorOfMatrix(org.apache.commons.math3.linear.RealMatrix matrix) Calculate priority vector of matrix using eigenvalues method
static double	kehrwert(double x)
static org.apache.commons.math3.linear.RealVector	normalize(org.apache.commons.math3.linear.RealVector vector) Calculate normalized vector

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

AHPMath

public AHPMath()

Method Detail

calculatePriorityVectorOfMatrix_new

public static org.apache.commons.math3.linear.RealVector calculatePriorityVectorOfMatrix_new(org.apache.commons.math3.linear.RealMatrix matrix)

Method to calculate priority vector (weights).

Parameters:

matrix - Input matrix of pairwise importance comparison

Returns:

priority vector (weights)

calculatePriorityVectorOfMatrix_new

public static org.apache.commons.math3.linear.RealVector calculatePriorityVectorOfMatrix_new(org.apache.commons.math3.linear.RealMatrix matrix,
                                                                                             int shape,
                                                                                             int iterations,
                                                                                             org.apache.commons.math3.linear.RealVector comp_eigenvector)

Method to calculate priority vector (weights).

Parameters:

matrix - Input matrix of pairwise importance comparison

shape - Shape of matrix

iterations - Number of max. iterations

comp_eigenvector - comparison eigenvector

Returns:

priority vector (weights)

kehrwert

public static double kehrwert(double x)

calculateConsistencyRatio

public static double calculateConsistencyRatio(org.apache.commons.math3.linear.RealMatrix matrix)

Method calculate consistency ratio of matrix

Parameters:

matrix - RealMatrix contains values of weight between alternatives

Returns:

double contains Consistency Ratio value

calculateConsistencyIndex

public static double calculateConsistencyIndex(org.apache.commons.math3.linear.RealMatrix matrix)

Method calculate consistency index of matrix

Parameters:

matrix - RealMatrix contains values of weight between alternatives

Returns:

double contains Consistency Index value

calculatePriorityVectorOfMatrix

public static org.apache.commons.math3.linear.RealVector calculatePriorityVectorOfMatrix(org.apache.commons.math3.linear.RealMatrix matrix)

Calculate priority vector of matrix using eigenvalues method

Parameters:

matrix - RealMatrix

Returns:

RealVector contains priority vector

normalize

public static org.apache.commons.math3.linear.RealVector normalize(org.apache.commons.math3.linear.RealVector vector)

Calculate normalized vector

Parameters:

vector - RealVector to normalization

Returns:

RealVector contains normalized values