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NAME

r.mcda.ahp - Generates a raster map classified with analytic hierarchy process (AHP).

KEYWORDS

raster, Analytic Hierarchy Process (AHP), Multi Criteria Decision Analysis (MCDA)

SYNOPSIS

r.mcda.ahp
r.mcda.ahp --help
r.mcda.ahp [-k] criteria=name[,name,...] pairwise=string output=string [--help] [--verbose] [--quiet] [--ui]

Flags:

-k
build a void pairwise comparison matrix and exit (no yet implemented)
--help
Print usage summary
--verbose
Verbose module output
--quiet
Quiet module output
--ui
Force launching GUI dialog

Parameters:

criteria=name[,name,...] [required]
Name of criteria raster maps
pairwise=string [required]
Pairwise comparison matrix
output=string [required]
output classified raster map

Table of contents

DESCRIPTION

The r.mcda.ahp Generate a raster map classified with analytic hierarchy process (AHP) [Saaty, 1977 and Saaty & Vargas, 1991]

(GRASS python Script)

NOTES

It is mandatory to build a pairwise comparation table with the same order of input of criteria maps in the criteria field.

Example: r.mcda.ahp criteria=reclass_slope,reclass_sand,reclass_elev pairwise=pairwise output=outputMap

The file "pairwise" has to have a structure like this:

#start file

1.0, 0.2, 3.0

5.0, 1.0, 5.0

0.3, 0.2, 1.0

#comment: order: reclass_slope,reclass_sand,reclass_

#end file

The first row and first column are related to the first criteria (reclass_slope in our case); the second row and second column are related to the second criteria (reclass_sand in our case) and the third row and third column are related to the third criteria ( reclass_elev in our cas), and so on.

In the work directory should be generated a log.txt file were you can find additional information like: eigenvectors, eigenvalues, weights

TODO

SEE ALSO

r.roughset, r.mcda.regime, r.mcda.fuzzy r.mcda.electre, r.mcda.roughset r.in.drsa r.to.drsa

AUTHORS

Antonio Boggia - Gianluca Massei
Department of Economics and Appraisal - University of Perugia - Italy

SOURCE CODE

Available at: r.mcda.ahp source code (history)


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