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Three main groups of our software:

- software that implements the Feasible Goals Method is based on visualization of the Pareto frontier for linear multiple criteria decision problems;
- software that implements the Reasonable Goals Method is based on visualization of the Pareto frontier for the convex hull of finite number of criterion points and is used for selecting a small number of preferable alternatives from a large list of decision alternatives; this software may be used for data mining, i.e. discovering of information in large Databases containing multiple tuples (rows);
- software that implements the Nonlinear Feasible Goals Method is based on visualization of the Pareto frontier for nonlinear multiple-criteria decision problems; the tool for visualization of a point-wise approximation of a multi-dimensional Pareto frontier can be downloaded.

All software systems apply approximation in criterion space or attribute space. Convex sets are approximated by polytops (approximation methods are based on integration of optimization methods and the convolution of linear inequalities systems introduced by Fourier). Non-convex sets are approximated by systems of balls.

Display is based mainly on the Interactive Decision Maps (with animation).

Several examples of our software may be downloaded from the pages devoted to the particular groups of software.