Description Usage Arguments Value Examples

View source: R/applyPiecewiseLinearValueFunctionsOnPerformanceTable.R

Transforms a performance table via given piecewise linear value functions.

1 2 3 4 | ```
applyPiecewiseLinearValueFunctionsOnPerformanceTable(valueFunctions,
performanceTable,
alternativesIDs = NULL,
criteriaIDs = NULL)
``` |

`valueFunctions` |
A list containing, for each criterion, the piecewise linear value functions defined by the coordinates of the break points. Each value function is defined by a matrix of breakpoints, where the first row corresponds to the abscissa (row labelled "x") and where the second row corresponds to the ordinate (row labelled "y"). |

`performanceTable` |
Matrix or data frame containing the performance table. Each row corresponds to an alternative, and each column to a criterion. Rows (resp. columns) must be named according to the IDs of the alternatives (resp. criteria). |

`alternativesIDs` |
Vector containing IDs of alternatives, according to which the datashould be filtered. |

`criteriaIDs` |
Vector containing IDs of criteria, according to which the data should be filtered. |

The function returns a performance table which has been transformed through the given value functions.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | ```
# the value functions
v<-list(
Price = array(c(30, 0, 16, 0, 2, 0.0875),
dim=c(2,3), dimnames = list(c("x", "y"), NULL)),
Time = array(c(40, 0, 30, 0, 20, 0.025, 10, 0.9),
dim = c(2, 4), dimnames = list(c("x", "y"), NULL)),
Comfort = array(c(0, 0, 1, 0, 2, 0.0125, 3, 0.0125),
dim = c(2, 4), dimnames = list(c("x", "y"), NULL)))
# the performance table
performanceTable <- rbind(
c(3,10,1),
c(4,20,2),
c(2,20,0),
c(6,40,0),
c(30,30,3))
rownames(performanceTable) <- c("RER","METRO1","METRO2","BUS","TAXI")
colnames(performanceTable) <- c("Price","Time","Comfort")
# the transformed performance table
applyPiecewiseLinearValueFunctionsOnPerformanceTable(v,performanceTable)
``` |

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