topsis: Topsis

In jy-r/Rmcdm: Multicriteria decision making methods for R

Description

Topsis Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria decision analysis method.

Usage

topsis(matrix, weights)

Arguments

matrix	data.frame (n \times m) of n alternatives and m crierias
weights	data.frame of weights size 1 \times n

Examples

matrix <- structure(list(price = c(240, 160, 200, 160, 50, 0, 220),
                         power = c(900,300, 100, 100, 100, 0, 100), 
                         ser = c(1, 1, 0, 0, 1, 1, 1), 
                         pos = c(1, 1, 1, 0, 1, 0, 1), 
                         safty = c(1, 1, 1, 0, 1, 0, 1), 
                         app = c(5, 7, 8, 4, 8, 6, 7)),
                         .Names = c("price", "power", "ser", "pos",  "safty", "app"), 
                         row.names = c(NA, -7L), class = "data.frame")

weights <- structure(list(X1 = c(0.206896551724138, 0.172413793103448, 0.0689655172413793, 
                                 0.137931034482759, 0.137931034482759, 0.275862068965517)),
                     .Names = "X1", row.names = c(NA, -6L), class = "data.frame")
                     
topsin(matrix, weights)

jy-r/Rmcdm documentation built on May 29, 2019, 3 a.m.