A new approach to deterministic and nondeterministic decisional systems minimization - principles and results

A new minimization technique is presented, applicable to multi-valued deterministic and non-deterministic decisional systems. Based on the discrimination principle (an original concept developed at University of Pitesti, Romania) and on a natural strategy in network minimization, and by introducing conceptually new minimization methods and generative algorithms (presented in another works), there are obtained competitive results in network minimization of binary and multi-valued functions with multiple outputs. The non-deterministic functions are treated as an integral or as a partial non-determinism. There is also given a solution for nondeterministic specifications having informationally correlated outputs. There are presented some significant results comparative to other known minimization methods.