**Education:**

- Mining University, Ostrava, Dipl. Ing., 1969-1975
- Charles University, Prague, PhD in Mathematical logic, 1982-1988
- Institute for System Science of the Polish Academy of Sciences, DSc (doctor of sciences), 1995
- Palacky University, Olomouc, Associate Professor, 1995
- Masaryk University, Brno, Full Professor, 2001

Author or co-author of **more than 300 scientific works**. Known **over 7000 citations** of his books and papers.

**Books and edited volumes:**

- Novak, V.:
**Fuzzy Sets and Their Applications**, SNTL Publishing House, Prague, 1986 and 1990 (in Czech), Adam-Hilger, Bristol 1989.

Awarded a price of the Czech Literal Fund in Prague, 1987. - Novak, V.:
**The Alternative Mathematical Model of Linguistic Semantics and Pragmatics**. Plenum Publishing Corporation, New York in 1992. - Novak, V., I. Perfilieva and J. Mockor:
**Mathematical Principles of Fuzzy Logic**, Kluwer, Boston/Dordrecht 1999. Translated into Russian, Nauka, Moscow 2006. - Novak, V.:
**Foundations of Fuzzy Modeling**, BEN, Prague 2000, (in Czech). - Novak, V., Ramik, J., Mares, M., Cerny, M., Nekola, J. (eds.):
**Fuzzy Approach to Reasoning and Decision-Making**. Kluwer, Dordrecht 1992, Academia, Praha 1992. - Novak, V., Perfilieva, I.(eds.):
**Discovering the World With Fuzzy Logic**. Springer-Verlag, Heidelberg 2000, 555 pp. (Studies in Fuzziness and Soft Computing, Vol. 57) - Novak, V., Perfilieva, I. and Dvorak, A.:
**Insight into Fuzzy Modeling**. Wiley & Sons, Hoboken, USA 2016.

**Major scientific achievements**

**Theoretical research**

His research activities in theory are focused on:

**Mathematical fuzzy logic and approximate reasoning**
He developed the formal theory of predicate fuzzy logic with evaluated syntax. The results are summarized in the book Novak, V., Perfilieva I. and J. Mockor: **Mathematical modeling of linguistic semantics and fuzzy natural logic**
He developed the theory of semantics of evaluative linguistic expressions (for example, ''deep, very shallow, medium big, large'', etc.). The seminal paper is V. Novak. **Theory of fuzzy and intermediate quantifiers**
He introduced the formal theory of intermediate quantifiers (linguistic expressions such as ''most, many, a few'', etc.) and generalized syllogisms using them. The seminal paper is V. Novak.

**Mathematical Principles of Fuzzy Logic**, Kluwer, Boston/Dordrecht 1999. Furthermore, he developed a theory of higher order fuzzy logic. The seminal paper is V. Novak:

**On fuzzy type theory**. Fuzzy Sets and Systems, 149:235-273, 2005. He also introduced special algebras called EQ-algebras. The basic paper is V. Novak and B. de Baets:

**EQ-algebras**. Fuzzy Sets and Systems,160:2956-2978, 2009.

**A comprehensive theory of trichotomous evaluative linguistic expressions**. Fuzzy Sets and Systems, 159(22):2939-2969, 2008. He introduced the concept and theory of Fuzzy Natural Logic. The basic paper is V. Novak.

**Fuzzy Natural Logic: Towards Mathematical Logic of Human Reasoning**. In R. Seising, E. Trillas, and J. Kacprzyk, editors, Fuzzy Logic:Towards the Future, pages 137-165. Springer, 2015.

**A formal theory of intermediate quantifiers**. Fuzzy Sets and Systems, 159(10):1229-1246, 2008.

**Development of methodologies and applications **

His research activities in applications are focused on:

**Fuzzy/linguistic control**
He has developed a methodology for process control on the basis of expert information (linguistic control). The principal method is PbLD. This methodology has many successful applications. The most advanced is control of 5 aluminium melting furnaces in the company AlInvest, Bridlicna, Czech Republic (see V. Novak and J. Kovar: **Decision-making**
He developed decision-making methodology based on the application of PbLD and time series processing (see V. Novak, I. Perfilieva, and N. G. Jarushkina: **Processing of time series**
He has developed a methodology for analysis, forecasting and mining information from time series using methods of fuzzy modeling, that are based on the theories mentioned above.

**Linguistic IF-THEN rules in large scale application of fuzzy control**. In Ruan Da and E. E. Kerre, editors, Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications, pages 223-241. Kluwer Academic Publishers, Boston, 2000).

**A general methodology for managerial decision making using intelligent techniques**. In E. Rakus-Anderson, R. R. Yager, N. Ichalkaranje, and L. C. Jain, editors, Recent Advances in Fuzzy Decision-Making, pages 103-120. Springer, Heidelberg, 2009). There are several applications of it.

**Insight into Fuzzy Modeling**. Wiley & Sons, Hoboken, USA 2016.

** Software development**

**Main topics of interest:**

- mathematical fuzzy logic,
- approximate reasoning,
- modeling of natural language semantics,
- fuzzy control and various kinds of applications of fuzzy logic.

**Personal interests:**

- Music

Own compositions:

Vilem Novak: Stereotypes, Six pieces for piano (download scores) recordings

Vilem Novak: Sonata Quasi Impromptu for piano (download scores)

Vilem Novak: Hrozba/Threat, Toccata for piano (download scores)

Vilem Novak: Preludy/Visions, Two pieces for flute and piano (download scores)

Vilem Novak plays:

Lubos Fiser: Sonata No. IV for Piano

J. S. Bach: Prelude No. 1 C-major from Well Tempered Clavier

C. Frank: Choral

L. van Beethoven: Sonata f-minor "Appassionata", 1st movement