Solving problems of multi-criteria decision analysis for Decision Support Systems (DSS) we need to proceed the complex system of N non-linear equations and inequalities which describe the solution feasible region. It means
that we have to solve a heavy algebraic problem wasting a lot of computing resources. The best way to get the optimal decision is a describing the algebraic system in geometrical terms for graphical solving. The paper describes
possible theoretical and program media for such tasks. The purpose is the synthesis of the optimal control function representation in N-dimensional space using its 2D projections in problems of Multi-Criteria Decision Analysis
(MCDA) and Multi-Criteria Decision Making (MCDM).
Pareto | Clifford | Projection | MCDA | Geometric Algebra | MCDM