| Type: | Package |
| Title: | WISP Multiple Criteria Sorting Method |
| Description: | Implementation of the Integrated Simple Weighted Sum Product Method (WISP), a multiple criteria sorting method create by Dragisa Stanujkic (2021) <doi:10.1109/TEM.2021.3075783>. |
| Version: | 1.0.5 |
| RoxygenNote: | 7.2.3 |
| Encoding: | UTF-8 |
| License: | GPL (≥ 3) |
| URL: | https://github.com/dioubernardo/rwisp |
| BugReports: | https://github.com/dioubernardo/rwisp/issues |
| Imports: | utils |
| Language: | en-US |
| Suggests: | testthat (≥ 3.0.0) |
| Config/testthat/edition: | 3 |
| NeedsCompilation: | no |
| Packaged: | 2023-06-30 16:33:06 UTC; usuario |
| Author: | Bernardo Silva 
[aut, cre],
Marcos Santos
[ctb] |
| Maintainer: | Bernardo Silva <bernardo.silva@furg.br> |
| Repository: | CRAN |
| Date/Publication: | 2023-06-30 16:50:02 UTC |
Abstraction for extracting data from a CSV file to run the wispcalc function
Description
File requirements: - Separated by comma or semicolon - Do not use thousands separator Example file in https://github.com/dioubernardo/rwisp/blob/main/inst/extdata/example.csv
Usage
rwispfromcsv(file)
Arguments
file |
the name of the file |
Value
list with 3 matrix, ui = ranking and the global ui, normalizedData = normalized data, utilities = utility values
Examples
result <- rwispfromcsv(system.file("extdata", "example.csv", package = "rwisp"))
Integrated Simple Weighted Sum Product Method - WISP
Description
Implementation of An Integrated Simple Weighted Sum Product Method - WISP More information about the method at https://doi.org/10.1109/TEM.2021.3075783 More information about the implementation at https://github.com/dioubernardo/rwisp/blob/main/README.md
Usage
wispcalc(data, alternatives, optimizations, weights)
Arguments
data |
A numeric data matrix, columns are the criteria, rows are the alternatives |
alternatives |
A character vector with the identification of alternatives |
optimizations |
A character vector with definition of minimization or maximization for each criterion, expected 'min' or 'max' only |
weights |
A numeric vector with the criteria weights, the sum of all must be 1 |
Value
list with 3 matrix, ui = ranking and the global ui, normalizedData = normalized data, utilities = utility values
Examples
alternatives <- c("A1", "A2", "A3", "A4", "A5")
optimizations <- c("max", "min", "max", "max", "min", "max", "min", "max", "min", "max")
weights <- c(0.07, 0.07, 0.07, 0.14, 0.2, 0.08, 0.12, 0.125, 0.05, 0.075)
data <- matrix(c(
c(3, 4, 6, 5, 2), # criterion 1 values
c(7, 6, 4, 6, 8), # criterion 2 values
c(4, 5, 5, 6, 3), # criterion 3 values
c(4, 5, 6, 5, 4), # criterion 4 values
c(6, 5, 4, 3, 6), # criterion 5 values
c(4, 5, 5, 6, 3), # criterion 6 values
c(6, 5, 5, 4, 6), # criterion 7 values
c(8, 8, 9, 7, 7), # criterion 8 values
c(5, 6, 7, 8, 7), # criterion 9 values
c(8, 9, 9, 9, 8) # criterion 10 values
), nrow=5, ncol=10)
result <- wispcalc(data, alternatives, optimizations, weights)