| Type: | Package |
| Title: | Hybrid Method for Multiple Criteria Decision-Making (MCDM) |
| Version: | 0.2.0 |
| Date: | 2021-01-30 |
| Author: | Raquel Coutinho [aut, cre], Marcos dos Santos [aut] |
| Maintainer: | Raquel Coutinho <rdouradocoutinho@gmail.com> |
| Description: | Implementation of a hybrid MCDM method build from the AHP (Analytic Hierarchy Process) and TOPSIS-2N (Technique for Order of Preference by Similarity to Ideal Solution - with two normalizations). This method is described in Souza et al. (2018) <doi:10.1142/S0219622018500207>. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| LazyData: | true |
| Suggests: | knitr, rmarkdown |
| VignetteBuilder: | knitr |
| NeedsCompilation: | no |
| Packaged: | 2021-01-31 02:03:02 UTC; raque |
| Repository: | CRAN |
| Date/Publication: | 2021-01-31 15:30:10 UTC |
AHP-TOPSIS-2N method
Description
AHP-TOPSIS-2N is a hybrid multi-criteria decision-making method build from the AHP (Analytic Hierarchy Process) and TOPSIS-2N (Technique for Order of Preference by Similarity to Ideal Solution - with two normalizations).
Usage
ahptopsis2n(decision, criteria, minmax)
Arguments
decision |
a matrix where rows correspond to the alternatives and columns correspond to criteria. |
criteria |
a matrix with pairwise comparison of criteria as in Analytic Hierarchy Process method. |
minmax |
a vector with objectives, minimize or maximize, to each criteria. |
Details
criteria must be in the same order on the arguments.
Value
a list with consistency ratio and two dataframes with priority sorting of the alternatives.
Author(s)
Raquel Coutinho rdouradocoutinho@gmail.com, Marcos dos Santos marcosdossantos@ime.eb.br
References
Souza, L. P. de, Gomes, C. F. S. and De Barros, A. P. (2018). Implementation of New Hybrid AHP–TOPSIS-2N Method in Sorting and Prioritizing of an it CAPEX Project Portfolio. International Journal of Information Technology & Decision Making. DOI: 10.1142/S0219622018500207.
Examples
decision<-matrix(c(64, 48, 1400,
128,64, 1900,
64, 32, 1100), ncol=3, byrow=TRUE)
rownames(decision)<- c("A1", "A2", "A3")
criteria<-matrix(c(1, 3, 1/3,
1/3, 1, 1/5,
3, 5, 1), ncol=3, byrow=TRUE)
minmax<-c("max", "max", "min")
ahptopsis2n(decision=decision, criteria=criteria, minmax=minmax)