Plenary Lecture
Hierarchical Knowledge-Based Fuzzy Models for Systems Described in Linguistic Categories
Professor Anna Walaszek-Babiszewska
Department of Control and Computer Engineering
Opole University of Technology
POLAND
E-mail: a.walaszek-babiszewska@po.opole.pl
Abstract: The fuzzy sets theory offers description for imprecisely formulated dependencies, values of variables, functions, relations and the imprecise values of truth. Knowledge-based systems applied in medicine, economy or in natural sciences require specific knowledge, which is derived from human experts. Knowledge is often expressed in linguistic categories, in a form of a collection of sentences. Mathematical methods proposed in the lecture use both, empirical data and experts’ knowledge to create hierarchical knowledge-based fuzzy models of the tested systems. The probability of fuzzy event is also used to valuate rules in the model. Some exemplary calculations will be presented.
Brief biography of the speaker: Anna Walaszek-Babiszewska, at present, is a professor at the Opole University of Technology, in Poland. Her research interests include: methods of artificial intelligence, knowledge-based systems, stochastic and fuzzy modeling, systems identification and applications in technological and managerial situations.
She published her last book on: “Fuzzy Modeling in Stochastic Environment” in 2011.