Towards a new computing problem solving model for organizations

摘要

Computing methods for solving problems effectively are the essence of continual improvement in computer based learning. The aim of this article is to present a new computational approach in solving problems of an organization by stepwise computer assisted finding a reliable solution. The new approach that we propose is to use Kumar's algorithm for supremal controllable supervisor and pattern recognition to find the optimal solution. Having Euclidian plane geometry as an universal language, we will exemplify the new model by taking an example from it. By dividing the types of the problems in various categories we will try to find patterns and to use them for faster problem solving.