achievements: Ignizio (1976) Example Data Sets
In goalprog: Weighted and lexicographical goal programming and optimization

Description Format Author(s) References See Also

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.

The data set is a data frame.

Frederick Novomestky fnovomes@poly.edu

Ignizio, J. P. (1976). Goal Programming and Extensions, Lexington Books.

ignizio.datasets

goalprog documentation built on May 30, 2017, 5:07 a.m.