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waspasR
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Download and install waspasR package within the R console
Install from CRAN:
install.packages("waspasR")
Install from Github:
library("remotes")
install_github("cran/waspasR")
Install by package version:
library("remotes")
install_version("waspasR", "0.1.5")
Attach the package and use:
library("waspasR")
Maintained by
Flavio Barbara
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-09
Latest Update: 2023-06-03
Description:
Provides a set of functions to implement decision-making systems based on the W.A.S.P.A.S. method (Weighted Aggregated Sum Product Assessment), Chakraborty and Zavadskas (2012) <doi:10.5755/j01.eee.122.6.1810>. So this package offers functions that analyze and validate the raw data, which must be entered in a determined format; extract specific vectors and matrices from this raw database; normalize the input data; calculate rankings by intermediate methods; apply the lambda parameter for the main method; and a function that does everything at once. The package has an example database called choppers, with which the user can see how the input data should be organized so that everything works as recommended by the decision methods based on multiple criteria that this package solves. Basically, the data are composed of a set of alternatives, which will be ranked, a set of choice criteria, a matrix of values for each Alternative-Criterion relationship, a vector of weights associated with the criteria, since certain criteria are considered more important than others, as well as a vector that defines each criterion as cost or benefit, this determines the calculation formula, as there are those criteria that we want the highest possible value (e.g. durability) and others that we want the lowest possible value (e.g. price).
How to cite:
Flavio Barbara (2023). waspasR: Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria Decision Analysis Solution. R package version 0.1.5, https://cran.r-project.org/web/packages/waspasR
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Functions, R codes and Examples using
the waspasR R package
Some associated functions: applyLambda . calcWPM . calcWSM . checkInputFormat . choppers . normalize . sliceData . waspasR .
Some associated R codes: applyLambda.R . calcWPM.R . calcWSM.R . checkInputFormat.R . choppers.R . normalize.R . sliceData.R . waspasR.R . Full waspasR package functions and examples
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