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Type: Package
Title: Create Logical Pairwise Comparison Matrix for the Analytic Hierarchy Process
Version: 0.1.0
Description: Create Pairwise Comparison Matrices for use in the Analytic Hierarchy Process. The Pairwise Comparison Matrix created will be a logical matrix, which unlike a random comparison matrix, is similar to what a rational decision maker would create on the basis of a preference vector for the alternatives considered.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.2
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Language: en-US
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2022-12-24 11:18:54 UTC; amarnath
Author: Amarnath Bose [aut, cre]
Maintainer: Amarnath Bose <amarnath.bose@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-06 11:40:06 UTC

Simulated Logical Pairwise Comparison Matrix for Analytic Hierarchy Process

Description

Creates a logical pairwise comparison matrix for the Analytic Hierarchy Process such as would be created by a rational decision maker based on a relative vector of preferences for the alternatives involved. Choices of the pairwise comparison ratios are from the Fundamental Scale and simulate a reasonable degree of error. The algorithm is modified from a paper by Bose, A [2022], doi: 10.1002/mcda.1784

Usage

createLogicalPCM(ord, prefVec = rep(NA, ord))

Arguments

ord

The desired order of the Pairwise Comparison Matrix

prefVec

The preference vector of length as the order of the input matrix ' @return A Logical Pairwise Comparison Matrix

Examples

lPCM <- createLogicalPCM(3,c(1,2,3));
lPCM <- createLogicalPCM(5,c(0.25,0.4,0.1,0.05,0.2));

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