| Type: | Package |
| Title: | New Multicriteria Method: AHPGaussian |
| Version: | 0.1.3 |
| Date: | 2025-09-15 |
| Maintainer: | Cid Edson Povoas <cidedson@gmail.com> |
| URL: | https://cidedson.github.io/ahpgaussian/ |
| BugReports: | https://github.com/cidedson/ahpgaussian/issues |
| Depends: | R (≥ 4.0.0) |
| Imports: | dplyr, tidyr, ggplot2, magrittr |
| Description: | Implements the Analytic Hierarchy Process (AHP) method using Gaussian normalization (AHPGaussian) to derive the relative weights of the criteria and alternatives. It also includes functions for visualizing the results and generating graphical outputs. Method as described in: dos Santos, Marcos (2021) <doi:10.13033/ijahp.v13i1.833>. |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 7.3.3 |
| Suggests: | spelling, testthat (≥ 3.0.0) |
| Language: | en-US |
| Config/testthat/edition: | 3 |
| NeedsCompilation: | no |
| Packaged: | 2025-09-15 17:02:43 UTC; rzo819 |
| Author: | Cid Edson Povoas 
[aut, cre],
Marcos dos Santos
[aut] |
| Repository: | CRAN |
| Date/Publication: | 2025-09-15 17:20:02 UTC |
Pipe operator
Description
Re-export of the magrittr pipe operator %>%.
Details
This operator is commonly used to pass the result of one expression as the first argument of the next function call.
Analytic Hierarchy Process with Gaussian adaptation
Description
Generic S3 function to apply the AHP-Gaussian method to different input types. Currently implemented for data frames.
Usage
ahpgaussian(x)
Arguments
x |
Input object (e.g., a data.frame). |
Value
An object of class ahpgaussian.
Default method for ahpgaussian
Description
Apply the AHP-Gaussian method to a data frame.
Usage
## Default S3 method:
ahpgaussian(x)
Arguments
x |
A data frame with criteria, alternatives and a column |
Value
An object of class ahpgaussian.
Decision Matrix
Description
An example data.frame about cellphone model characteristics
Usage
data(cellphones)
Format
The format is:
'data.frame': 5 obs. of 5 variables:
$ criteria: chr "Price" "Camera" "Storage" "Battery Life" ...
$ Xiaomi : int 1500 12 64 24 94
$ Samsung : int 1800 12 128 18 120
$ iPhone : int 5000 20 128 10 117
$ min_max : chr "min" "max" "max" "max" ...
# Description
#
criteria: Statement of the goal, decision criteria and alternatives.
Xiaomi: Xiaomi model;
Samsung: Samsung model; or
iPhone: iPhone model.
min_max: Weights of criteria and alternatives.
Examples
data(cellphones)
cellphones
Plot Method for ahpgaussian objects
Description
These are methods for objects of class ahpgaussian.
Usage
## S3 method for class 'ahpgaussian'
plot(x, ...)
Arguments
x |
A given object of the class |
... |
Other graphical parameters may also be passed as arguments to these functions. |
Author(s)
Cid Edson Povoas (cidedson@gmail.com)
References
dos Santos, M, Costa, I. P. de A., & Gomes, C. F. S. (2021) Multicriteria decision-making in the selection of warships: a new approach to the ahp method. International Journal of the Analytic Hierarchy Process, 13(1). <doi:10.13033/ijahp.v13i1.833>
See Also
Examples
##
## Example 1
## ahpgaussian
##
# ahpgaussian
cp <- ahpgaussian(cellphones)
plot(cp)
Print method for summary.ahpgaussian
Description
Compact print method for summaries of AHP Gaussian results.
Usage
## S3 method for class 'summary.ahpgaussian'
print(x, ...)
Arguments
x |
An object of class |
... |
Additional arguments (ignored). |
Summary Method for ahpgaussian objects
Description
Returns (and prints) a summary list for ahpgaussian) objects.
Usage
## S3 method for class 'ahpgaussian'
summary(object,
presentation=FALSE, ...)
Arguments
object |
A given object of the class |
presentation |
Logic.
If |
... |
Potential further arguments (require by generic). |
Author(s)
Cid Edson Povoas (cidedson@gmail.com)
References
dos Santos, M, Costa, I. P. de A., & Gomes, C. F. S. (2021) Multicriteria decision-making in the selection of warships: a new approach to the ahp method. International Journal of the Analytic Hierarchy Process, 13(1). <doi:10.13033/ijahp.v13i1.833>
See Also
Examples
##
## Example 1
## ahpgaussian
##
# ahpgaussian
cp <- ahpgaussian(cellphones)
summary(cp, TRUE)
Decision Matrix
Description
A data.frame Decision Matrix of the data used Santos (2021), the first column lists the criteria, while the next three columns represent the alternatives and the last column represents the objective choice between minimum and maximum for a given criterion. Each model corresponds to an alternative of ship, classified according to its respective criteria.
Usage
data(warships)
Format
The format is:
'data.frame': 9 obs. of 5 variables:
criteria: chr "Action Radius" "Fuel Endurance" "Autonomy" "Primary Cannon" ...
model_1 : num 4000 11 30 25 1 0 290 592 6
model_2 : num 9330 26 25 25 2 1 310 633 8
model_3 : num 10660 30 35 120 2 ...
min_max : chr "max" "max" "max" "max" ...
#
# Description
#
criteria: Statement of the goal, decision criteria and alternatives.
model_1: Replicate the current Corvette Barroso;
model_2: Build a slightly modernized ship (2.600 ton corvette); or
model_3: Build a model with more significant modernizations (3.000 ton corvette).
min_max: Weights of criteria and alternatives.
References
dos Santos, M, Costa, I. P. de A., & Gomes, C. F. S. (2021) Multicriteria decision-making in the selection of warships: a new approach to the ahp method. International Journal of the Analytic Hierarchy Process, 13(1). <doi:10.13033/ijahp.v13i1.833>.
Examples
data(warships)
warships