TOPSISVector: Implementation of TOPSIS Method for Multi-Criteria Decision...

In MCDM: Multi-Criteria Decision Making Methods for Crisp Data

Description

The TOPSISVector function implements the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Method with the vectorial normalization prodecure.

Usage

TOPSISVector(decision, weights, cb)

Arguments

decision	The decision matrix (m x n) with the values of the m alternatives, for the n criteria.
weights	A vector of length n, containing the weights for the criteria. The sum of the weights has to be 1.
cb	A vector of length n. Each component is either cb(i)='max' if the i-th criterion is benefit or cb(i)='min' if the i-th criterion is a cost.

Value

TOPSISVector returns a data frame which contains the score of the R index and the ranking of the alternatives.

References

Hwang, C.L.; Yoon, K. Multiple Attribute Decision Making. In: Lecture Notes in Economics and Mathematical Systems 186. Springer-Verlag, Berlin, 1981.

Examples

 d <- matrix(c(6,7,10,2,2.75,3.5),nrow = 3,ncol = 2)
 w <- c(0.5,0.5)
 cb <- c('min','max')
 TOPSISVector(d,w,cb)

MCDM documentation built on May 2, 2019, 4:19 a.m.