Function to construct a single-attribute interpolation end node.
utility.endnode.intpol1d.create(name.node,
name.attrib,
range,
x,
u,
names.x = rep(NA, length(x)),
names.u = rep(NA, length(u)),
utility = TRUE,
required = FALSE,
col = "black",
shift.levels = 0)
The function returns the created object of type utility.endnode.intpol1d
with the properties specified in the arguments of the function.
name of the node to be constructed as a character string.
name of the attribute on which the value or utility function depends as a character string.
numeric vector with two components specifying the minimum and the maximum of the attribute range.
numeric vector of attribute values for which the value or utility is known.
numeric vector of values or utilities corresponding to the attribute values given in the previous argument x
.
(optional) vector of character strings with names of the components of the numeric vector x
specified above.
Only required to provide access to the values through a named parameter vector.
(optional) vector of character strings with names of the components of the numeric vector u
specified above.
Only required to provide acces through a named parameter vector.
(optional) logical variable indicating if a value function (FALSE
) or a utility function (TRUE
) is created.
Default value is TRUE
.
(optional) logical variable indicating if the value of this node is required for aggregation at the next higher level.
If this variable is TRUE
, aggregation at the next higher level is not possible if this node returns NA.
Default value is FALSE
.
(optional) color used for plotting the bounding box of the node in the objective hierarchy.
Default value is "black"
.
(optional) number of hierarchical levels by which the node in the objective hierarchy is shifted to make a branch fit better to other branches.
Default value is 0
.
Peter Reichert <peter.reichert@emeriti.eawag.ch>
Short description of the package:
Reichert, P., Schuwirth, N. and Langhans, S.,
Constructing, evaluating and visualizing value and utility functions for decision support, Environmental Modelling & Software 46, 283-291, 2013.
Textbooks on the use of utility and value functions in decision analysis:
Keeney, R. L. and Raiffa, H. Decisions with Multiple Objectives - Preferences and Value Tradeoffs. John Wiley & Sons, 1976.
Eisenfuehr, F., Weber, M. and Langer, T., Rational Decision Making, Springer, Berlin, 2010.
Print, evaluate and plot the node with
print.utility.endnode.intpol1d
,
summary.utility.endnode.intpol1d
,
evaluate.utility.endnode.intpol1d
and
plot.utility.endnode.intpol1d
.
Create other end nodes with
utility.endnode.discrete.create
,
utility.endnode.parfun1d.create
,
utility.endnode.intpol2d.create
,
utility.endnode.cond.create
, or
utility.endnode.firstavail.create
.
Create other types of nodes with
utility.aggregation.create
,
utility.conversion.intpol.create
, or
utility.conversion.parfun.create
.
bedmod_other <-
utility.endnode.intpol1d.create(
name.node = "bed modification other",
name.attrib = "bedmodfract_percent",
range = c(0,100),
x = c(0,10,30,100),
u = c(1,0.775,0.5625,0),
required = FALSE,
utility = FALSE)
print(bedmod_other)
plot(bedmod_other)
Run the code above in your browser using DataLab