MCDM (version 1.2)

MMOORA: Implementation of MULTIMOORA Method for Multi-Criteria Decision Making Problems.

Description

The MMOORA function implements both the Multi-Objetive Optimization by Ration Analysis (MOORA) and the "Full Multiplicative Form" (MULTIMOORA).

Usage

MMOORA(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

MMOORA returns a data frame which contains the scores and the four rankings calculated (Ratio System, Reference Point, Multiplicative Form and Multi-MOORA ranking).

References

Brauers, W. K. M.; Zavadskas, E. K. Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy, 16(1), 5-24, 2010.

Examples

 d <- matrix(c(60,6.35,6.8,10,2.5,4.5,3,0.4,0.15,0.1,0.2,0.1,0.08,0.1,2540,1016,1727.2,
 1000,560,1016,1778,500,3000,1500,2000,500,350,1000,990,1041,1676,965,915,508,920),
 nrow=7,ncol=5)
 w <- c(0.036,0.192,0.326,0.326,0.12)
 cb <- c('max','min','max','max','max')
 MMOORA(d,w,cb)