# MAVF_Scores: Multiple Attribute Value Function (MAVF) Scores In AFIT-R/DecisionAnalysis: Implementation of Multi Objective Decision Analysis

## Description

: Takes a matrix of Single Attribute Value Functions (SAVF) scores and multiplies it by the weights vector to calculate the alternatives MAVF score.

## Usage

 `1` ```MAVF_Scores(SAVF_matrix, weights, names) ```

## Arguments

 `SAVF_matrix` Matrix of SAVF scores `weights` Numeric vector of SAVF weights `names` Vector of attribute names

MAVF Scores

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18``` ```## Not run: qbdata <- NFLcombine[1:7,] Height <- SAVF_exp_score(qbdata\$heightinchestotal, 68, 75.21, 82) Weight <- SAVF_exp_score(qbdata\$weight, 185, 224.34, 275) Forty <- SAVF_exp_score(qbdata\$fortyyd, 4.3, 4.81, 5.4, increasing=FALSE) Shuttle <- SAVF_exp_score(qbdata\$twentyss, 3.8, 4.3, 4.9, increasing=FALSE) Vertical <- SAVF_exp_score(qbdata\$vertical, 21, 32.04, 40) Broad <- SAVF_exp_score(qbdata\$broad, 90, 111.24, 130) Wonderlic <- SAVF_exp_score(qbdata\$wonderlic, 0, 27.08, 50) SAVF_matrix = cbind(Height, Weight, Forty, Shuttle, Vertical, Broad, Wonderlic) weights = c(0.096, 0.224, 0.092, 0.138, 0.152, 0.228, 0.07) MAVF_Scores(SAVF_matrix, weights, qbdata\$name) ## End(Not run) ```

AFIT-R/DecisionAnalysis documentation built on July 31, 2018, 12:10 a.m.