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prof. Radim Bělohlávek
Fuzzy logic and relational data
On 2016-04-28 16:00 at KN:E-107
Fuzzy logic differs from classical, two-valued logic in that it rejects the
principle of bivalence. While according to the principle of bivalence every
statement is either true or false, fuzzy logic admits intermediate truth values,
called degrees of truth. These are primarily interpreted as truth values of
statements involving vague predicates such as “high” or “red”. Since
usage of vague predicates is typical in human description of the outer world,
fuzzy logic has found many applications in various areas of human affairs.

In this talk, we will first survey the principles of fuzzy logic, mention some
relevant historical facts, and present several areas of computer science where
fuzzy logic has been applied in an interesting way. The second part will be
devoted to problems studied and results obtained by the speaker, in particular
to foundations and algorithms for analysis of factors and dependencies in data
with fuzzy attributes.

Radim Bělohlávek pursues research in fuzzy logic and applications of algebra
and logic in relational data modeling. He has authored or coauthored over one
hundred papers in international journals and two books in these areas. He is a
professor of computer science at the Faculty of Science, Palacký University,
Olomouc, where he is currently the head of Department of Computer Science. In
the past, he was a full professor at the State University of New York in
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