Bøger af Alexander Gegov

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented.

This book sets out the concept of a fuzzy network with rule bases as nodes whose connections are the interactions between the rule bases in the form of outputs fed as inputs. This systematic study will improve the feasibility and transparency of fuzzy models.