Porównanie algorytmów wnioskowania klasycznego i rozmytego na przykładzie systemu wspomagania decyzji managera

Abstract

The aim of the study is to compare operation of divalent and fuzzy inference. The article contains describing the theoretical basis of operation of both algorithms and illustrated is to use each of them with a different version of the manager's decision support system. Next is shown knowledge base and accurate inference algorithm and also example of use system of classic inference in practice. The last part of the work is to describe the analysis of the similarities and differences between algorithms and of its conclusions. (original abstract)