waspasR
0.1.5Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria Decision Analysis Solution
Overview
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).
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-05-1213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-05-1112 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 13%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.5Latest
- unarchivedReturned to CRAN2023-06-03
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2023-04-19issues were not corrected in time Despite update
- 0.1.12023-03-31 · diff ↗
- unarchivedReturned to CRAN2023-03-31
- archivedRemoved from CRAN2023-03-23issues were not corrected in time
- 0.1.02023-03-09
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-03-09
- Total releases
- 3 / 3 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.2.0
- Bundled data
- 1.3 KB / 1 file
- Download size
- 89 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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