Package: waspasR 0.1.5

waspasR: Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria Decision Analysis Solution

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).

Authors:Flavio Barbara [cre, aut], Marcos Santos [ctb]

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NEWS

# Install 'waspasR' in R:
install.packages('waspasR', repos = c('https://flavio-barbara.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/flavio-barbara/waspasr/issues

Datasets:

On CRAN:

mcdmwaspas

7 exports 1 stars 0.73 score 0 dependencies 10 scripts 136 downloads

Last updated 1 years agofrom:d584f46fc7. Checks:OK: 7. Indexed: yes.

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Doc / VignettesOKAug 24 2024
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R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
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Exports:applyLambdacalcWPMcalcWSMcheckInputFormatnormalizesliceDatawaspasR

Dependencies:

WASPAS in a nutshell

Rendered fromwaspas-in-a-nutshell.Rmdusingknitr::rmarkdownon Aug 24 2024.

Last update: 2023-03-30
Started: 2023-02-18

Readme and manuals

Help Manual

Help pageTopics
applyLambdaapplyLambda
calcWPMcalcWPM
calcWSMcalcWSM
checkInputFormatcheckInputFormat
Data about helicopterschoppers
normalize()normalize
sliceDatasliceData
waspasR()waspasR