achievements: Ignizio (1976) Example Data Sets
Description
The data set is a data frame that defines the achievement goals
$g_1(n,p), g_2(n,p), ..., g_K(n,p)$. The columns depend on
the formulation of the goal programming problem.
For a lexicographical goal programming problem, the data frame has
four named columns. The first column is called 'objective' and it contains
the index for a particular problem object. The second column is called 'priority'
and it is the level to which the row (i.e. objective) is assigned.
The third column is called 'p' and it contains the weight associated with
the positive deviation variable. The fourth column is called 'n' and
it contains the weight associated with the negative deviation variable.
An objective can appear in two rows if each deviation variable is to be
assigned to a different priority level.
For a weighted goal programming problem, the data frame has five named
columns. The first four columns are identical to the columns in the
data frame for a lexicgraphical goal programming problem. The fifth
column is called 'w' and it is the weight associated with the specified
priority level.format
The data set is a data frame.References
Ignizio, J. P. (1976). Goal Programming and Extensions, Lexington Books.