View source: R/mfpp.R View source: R/maxscore_PEM.r
maxscore_PEM | R Documentation |
Calculate maximal score value (PMAX) of possible project scenarios.
maxscore_PEM(PEM, P=PEM, Q=1-PEM)
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 |
score |
The maximal score value of the project scenario (a scalar). |
Zsolt T. Kosztyan*, Aamir Saghir
e-mail: kzst@gtk.uni-pannon.hu
KosztyƔn, Z. T. (2022). MFPP: Matrix-based flexible project planning. SoftwareX, 17, 100973.
tpc
, tpq
, tpr
, tpt
.
# 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)
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