#library(MCDA)

## This test example is the same as http://hodgett.co.uk/topsis-in-excel/

performanceTable <- matrix(c(5490,51.4,8.5,285,6500,70.6,7,288,6489,54.3,7.5,290),nrow=3,ncol=4, byrow=TRUE)

row.names(performanceTable) <- c("Corsa","Clio","Fiesta")

colnames(performanceTable) <- c("Purchase Price","Economy","Aesthetics","Boot Capacity")

weights <- c(0.35,0.25,0.25,0.15)

criteriaMinMax <- c("min", "max", "max", "max")

positiveIdealSolutions <- c(0.179573776, 0.171636015, 0.159499658, 0.087302767)
negativeIdealSolutions <- c(0.212610118, 0.124958799, 0.131352659, 0.085797547)

names(weights) <- colnames(performanceTable)
names(criteriaMinMax) <- colnames(performanceTable)
names(positiveIdealSolutions) <- colnames(performanceTable)
names(negativeIdealSolutions) <- colnames(performanceTable)

overall1 <- TOPSIS(performanceTable, weights, criteriaMinMax)

overall2 <- TOPSIS(performanceTable, weights, criteriaMinMax, positiveIdealSolutions, negativeIdealSolutions)

overall3 <- TOPSIS(performanceTable, weights, criteriaMinMax, alternativesIDs = alternativesIDs <- c("Corsa","Clio"), criteriaIDs = criteriaIDs <- c("Purchase Price","Economy","Aesthetics"))

overall4 <- TOPSIS(performanceTable, weights, criteriaMinMax, positiveIdealSolutions, negativeIdealSolutions, alternativesIDs <- c("Corsa","Clio"), criteriaIDs <- c("Purchase Price","Economy","Aesthetics"))

s1 <- structure(c(0.4817, 0.5182, 0.1780
), .Names = c("Corsa", "Clio", "Fiesta"))

stopifnot(round(overall1,4) == s1)

s2<- structure(c(0.4817, 0.5182, 0.1780
), .Names = c("Corsa", "Clio", "Fiesta"))

stopifnot(round(overall2,4) == s2)

s3<- structure(c(0.4943, 0.5057), .Names = c("Corsa", "Clio"))

stopifnot(round(overall3,4) == s3)

s4 <- structure(c(0.5182, 0.5146), .Names = c("Corsa", "Clio"))

stopifnot(round(overall4,4) == s4)