maxscore_PEM {mfpp} | R Documentation |
Function to calculate maximal score value (PMAX) of possible project scenarios.
Description
Calculate maximal score value (PMAX) of possible project scenarios.
Usage
maxscore_PEM(PEM, P=PEM, Q=1-PEM)
Arguments
PEM |
N by N upper triangular adjacency matrix of logic network (a numeric matrix). |
P |
N by N score matrix of task/dependency inclusion (a numeric matrix). The default P matrix is P=PEM |
Q |
N by N score matrix of task/dependency exclusion (a numeric matrix). The default Q matrix is Q=1-PEM |
Value
score |
The maximal score value of the project scenario (a scalar). |
Author(s)
Zsolt T. Kosztyan*, Aamir Saghir
e-mail: kzst@gtk.uni-pannon.hu
References
KosztyƔn, Z. T. (2022). MFPP: Matrix-based flexible project planning. SoftwareX, 17, 100973.
See Also
Examples
# Calculatation of the maximal score value of the project scenario using MFPP package.
# Define a 3 by 3 upper triangular adjacency matrix (PEM) of logic domain of a project.
PEM <- rbind(c(0.8,0.4,0.8),
c(0.0,0.7,0.7),
c(0.0,0.0,0.4))
# Define a 3 by 3 score matrix of task/dependency inclusion.
P <- PEM
# Define a 3 by 3 score matrix of task/dependency exclusion.
Q <- 1-P
# Calculation of the maximal score value of the project using MFPP package.
maxscore_PEM(PEM,P, Q)
[Package mfpp version 0.0.7 Index]