Affiliations: Systems Research Institute, Polish Academy of Sciences,
ul. Newelska 6, Warszawa, Poland. [email protected] and Institute of
Technology, Kazimierz Wielki University, ul. Chodkiewicza 30, Bydgoszcz, Poland.
[email protected]
Note: [] Address for correspondence: Systems Research Institute, Polish
Academy of Sciences, ul. Newelska 6, 01-447 Warszawa, Poland
Abstract: This article presents the LDGen method which is based on genetic
algorithm. The author proposed evolutionary approach to the solution of the
discretization problem for systems that induce rules on the basis of rough sets
theory. The study describes details of the method with special focus on the
crossing operator. The proposed approach concerns working with multidimensional
samples. Thanks to application of the author's own method of for
visualizing multidimensionality, i.e. so called Pipes of Samples, it was
possible to visualize up to 360 dimensions, which is usually sufficient in case
of problems the Rough Sets Theory deals with. Mutation and crossing methods
were developed using this visualisation so that, for real numbers, it allowed
to create individuals that describe one solution of the discretization. Hence
the population is a set of many complete discretizations of all the
attributes.
