| 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));