Plenary Lecture
Possibilities of Applications of the Fuzzy Inference
Systems and Probabilistic–Fuzzy Inference Systems for
the Prediction and Diagnosis
Professor Anna Walaszek-Babiszewska
Department of Control and Computer Engineering
Opole University of Technology
Sosnkowski 31, 45-272 Opole
POLAND
E-mail:
a.walaszek-babiszewska@po.opole.pl
Abstract: Probabilistic
methods have a long history of
applications to data analysis and
statistical inference in many
fields of human activities, also
for prediction and diagnosis.
Zadeh’s theory of fuzzy systems,
especially theory of approximate
reasoning, gave the grounds for
creating the knowledge based
systems, where human knowledge and
experiences expressed in
linguistic categories are prepared
and used for the prediction,
diagnosis or control.
According to many authors,
uncertainty is the central,
critical fact in medical
reasoning. Many applications of
knowledge based medical systems
confirm, that fuzzy set theory is
very suitable for expressing
uncertainty of symptoms, reasons,
and for creating the inference,
diagnostic procedure.
In this work we present the
methods of applications both, the
sets of numerical data collected
in real systems, as well as,
expert’s experiences to modelling
knowledge bases, by using
linguistic fuzzy models and the
probability theory of fuzzy
events. A structure of the
reason-result fuzzy model is
predefined at the beginning of the
task. Collected data are used to
compute empirical probability
distributions of linguistic
variables. The calculated
probabilities of fuzzy events have
been included into inference
procedures. The exemplary
calculations are presented.
Brief Biography of the Speaker:
Anna Walaszek-Babiszewska was born
in Wroclaw, Poland. She received
M. Sc. degree (1970) in Control
Engineering from the Technical
University of Wroclaw, Poland.
Since 1970 she has been with the
Silesia University of Technology,
Gliwice, Poland, where she
received Ph. D. and D. Sc.
(Habilitation) degrees in 1980 and
1994, respectively. At present,
she is a professor at the Opole
University of Technology,
Department of Control and Computer
Engineering, Opole, Poland.
Her research interests include:
stochastic and fuzzy modeling,
knowledge-based systems, systems
identification, data analysis, and
applications in technological and
managerial situations.
She has supervised 4 and reviewed
5 Ph.D dissertations in
engineering and economic sciences.
She has published 4 monographic
books on stochastic and fuzzy
modeling and over 90 scientific
papers (the book on ‘Fuzzy
modeling in stochastic
environment’ is just publishing by
LAP LAMBERT Academic Publishing).
She was a member of the Management
Editorial Board (2000-2005) and
the Lecture Notes in Control and
Computer Science Editorial Board
(2003) of the Zielona Gora
University Press, Zielona Gora,
Poland. She was a member of the
Section of Cybernetics in Mining,
Mining Committee of the Polish
Academy of Sciences (1999-2011).
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