| Type: | Package |
| Title: | TOPSIS method for multiple-criteria decision making (MCDM) |
| Version: | 1.0 |
| Date: | 2013-09-24 |
| Author: | Mahmoud Mosalman Yazdi |
| Maintainer: | Mahmoud Mosalman Yazdi <m.mosalman@gmail.com> |
| Description: | Evaluation of alternatives based on multiple criteria using TOPSIS method. |
| License: | GPL-2 |
| Packaged: | 2013-09-30 17:28:07 UTC; mahmoud |
| NeedsCompilation: | no |
| Repository: | CRAN |
| Date/Publication: | 2013-09-30 20:15:19 |
TOPSIS method for multiple-criteria decision making (MCDM)
Description
The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a multiple-criteria decision making (MCDM) method.
Usage
topsis(decision = NULL, weights = NULL, impacts = NULL)
Arguments
decision |
A numeric matrix with m rows for m alternatives and n columns for n criterions. |
weights |
A numeric vector with length equal to number of columns in decision matrix for weights of criterions. |
impacts |
A character vector of "+" and "-" signs for the way that each criterion influences on the alternatives. |
Value
A data frame including elements
alt.row |
Row number of alternatives in decision matrix. |
score |
TOPSIS score of alternatives. |
rank |
Rank of alternatives based on TOPSIS scores. |
Author(s)
Mahmoud Mosalman Yazdi <m.mosalman@gmail.com>
References
Yoon, K.P.; Hwang, C. (1995). _Multiple Attribute Decision Making: An Introduction_. California: SAGE publications.
Examples
d <- matrix(rpois(12, 5), nrow = 4)
w <- c(1, 1, 2)
i <- c("+", "-", "+")
topsis(d, w, i)