Institute of Information Theory and Automation

Mathematical Fuzzy Logic

Lecturer: Carles Noguera, Ph.D.
Faculty: Filozofická fakulta UK
Type of course: bakalářský, magisterský
Department: MTR
Semester: letní
Active: yes


Originating as an attempt to provide solid logical foundations for fuzzy set theory, and motivated also by philosophical and computational problems of vagueness and imprecision, Mathematical Fuzzy Logic (MFL) has become a significant subfield of mathematical logic. Research in this area focuses on many-valued logics with linearly ordered truth theories and challenging problems, thus continuing to attract an ever increasing number of researchers. The goal of this course is to provide an up-to-date introduction to MFL. Starting with the motivations and historical origins of the area, we present MFL, its main methods, and its core agenda. In particular, we focus on some of its better known logic systems (Łukasiewicz and Gödel–Dummett logics, BL, MTL) and present a general theory of fuzzy logics. Finally, we give an overview of several currently active lines of research in the development and application of fuzzy logics.
Responsible for information: MTR
Last modification: 16.05.2017
Institute of Information Theory and Automation