Vilém Novák

Education:

Academic degrees and qualifications:

Work experience:

Further activities:

• General Chair of the organizing committee of the International Symposium on Fuzzy Approach to Reasoning and Decision-Making, Bechyně, Czechoslovakia, June 1990,
• General Chair of the IFSA'97 World Congress held in Prague on 25–29 June 1997,
• General Chair of the organizing committee of the international workshop The Logic of Soft Computing held in Ostrava on 5–9 October 2005,
• General Chair of the international conference EUSFLAT 2007 held in Ostrava on 11–14 September 2007,
• guest editor of special issues of journals International Journal of General Systems, 1991 and 1997, Journal of Advanced Computational Intelligence, 1997, Soft Computing, 2002, Fuzzy Sets and Systems, 2005, 2006 and 2008,
• member of programme committees of many international conferences (2–5 a year),
• is invited to give lectures at universities in Czech Republic as well as in Germany, Austria, Italy, Poland, France, Belgium, Netherlands, Russia, Bulgaria, U.S.A., China, Japan, Korea, Sweden, Finland, United Kingdom.

Areas of main interest:

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

Member of editorial boards of the following journals:

• Soft Computing.
• Fuzzy Sets and Systems.
• Journal of Applied Non-Classical Logics.
• International Journal of Computational Intelligence Systems.
• International Journal of Applied Mathematics and Computer Science.
• Journal of Uncertain Systems.
• International Journal of Biomedical Soft Computing and Human Sciences.

Selected publications:

Author or co-author of more than 200 publications in the fields of fuzzy logic, fuzzy set theory and modelling of natural language semantics, and applications in the theory of control and decision-making.

Monographs

• NOVÁK, V. Fuzzy množiny a jejich aplikace. 1. vydání. Praha: SNTL, 1986. 2., upravené vydání. Praha: SNTL, 1990. 296 pp. (Matematické semináře SNTL; sv. 23.) ISBN 80-03-00325-3.
• NOVÁK, V. Fuzzy Sets and Their Applications. Bristol: Adam Hilger, 1989. 248 pp. ISBN 0-85274-583-4.
• NOVÁK, V. The Alternative Mathematical Model of Linguistic Semantics and Pragmatics. New York: Plenum Press, 1992. xiii+220 pp. ISBN 0-306-44269-8.
• NOVÁK, V.– PERFILIEVA, I. – MOČKOŘ, J. Mathematical Principles of Fuzzy Logic. Boston: Kluwer, 1999. 320 pp. ISBN 0-7923-8595-0.
• NOVÁK, V.– PERFILIEVA, I. (eds.) Discovering the World with Fuzzy Logic. Heidelberg: Physica-Verlag, 2000. 555 pp. (Studies in Fuzziness and Soft Computing; Vol. 57.) ISBN 3-7908-1330-3.
• NOVÁK, V. Základy fuzzy modelování. Praha: BEN, 2000. 166 pp. ISBN 80-7300-009-1.
• NOVÁK, V.– PERFILJEVA, I. – MOČKOŘ, J. Mathematical Principles of Fuzzy Logic. Moskva: Fizmatlit, 2006. 347 pp. ISBN 5-9221-0399-7. In Russian. [НОВАК, В. – ПЕРФИЛЬЕВА, И. – МОЧКОРЖ, И. Математические принципы нечетной логики. Москва: Физматлит, 2006.]

Chapters in edited monographs

• NOVÁK, V. Fuzzy logic: applications to natural language. In Encyclopedia of Artificial Intelligence. Ed. S. C. Shapiro. 2nd edition. New York: Wiley, 1992, pp. 515–521. ISBN 0-471-50307-X.
• NOVÁK, V. Fuzzy sets in natural language processing. In An Introduction to Fuzzy Logic Applications in Intelligent Systems. Ed. R. R. Yager, L. A. Zadeh. Kluwer, 1992, pp. 185–200. ISBN 0-7923-9191-8.
• NOVÁK, V. On the logical basis of approximate reasoning. In Fuzzy Approach to Reasoning and Decision-Making. Dordrecht: Kluwer; Praha: Academia, 1992, pp. 17–27. ISBN 0-7923-1358-5 (Kluwer). ISBN 80-200-0450-5 (Academia).
• NOVÁK, V. Fuzzy logic. In Handbook of Defeasible Reasoning and Uncertainty Management Systems. Volume 1. Ed. P. Smets. Dordrecht: Kluwer, 1998, pp. 75–109. ISBN 0-7923-5100-2.
• NOVÁK, V. Towards formalized integrated theory of fuzzy logic. In Fuzzy Logic and Its Applications to Engineering, Information Sciences, and Intelligent Systems. Ed. Z. Bien, K. C. Min. Dordrecht: Kluwer, 1995, pp. 353–363. ISBN 0-7923-3755-7.
• NOVÁK, V.– PERFILIEVA, I. Evaluating linguistic expressions and functional fuzzy theories in fuzzy logic. In Computing with Words in Information/Intelligent Systems 1: Foundations. Ed. L. A. Zadeh, J. Kacprzyk. Heidelberg: Physica-Verlag, 1999, pp. 383–406. (Studies in Fuzziness and Soft Computing; Vol. 33.) ISBN 3-7908-1217-X.
• NOVÁK, V. Weighted inference systems. In Fuzzy Sets in Approximate Reasoning and Information Systems. Ed. J. C. Bezdek, D. Dubois, H. M. Prade. Boston: Kluwer, 1999, pp. 191–241. ISBN 0-7923-8584-5.
• NOVÁK, V. Formal theories in fuzzy logic. In Fuzzy Sets, Logics and Reasoning about Knowledge. Ed. D. Dubois, E. P. Klement, H. Prade. Dordrecht: Kluwer, 1999, pp. 213–235. ISBN 0-7923-5977-1.
• NOVÁK, V. – KOVÁŘ, J. Linguistic IF-THEN rules in large scale application of fuzzy control. In Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications. Ed. D. Ruan, E. E. Kerre. Boston: Kluwer, 2000, pp. 223–241. ISBN 0-7923-7820-2.
• NOVÁK, V. – PERFILIEVA, I. The principles of fuzzy logic: its mathematical and computational aspects. In Lectures on Soft Computing. Ed. A. D. Nola, G. Gerla. Heidelberg: Physica-Verlag, 2001, pp. 189–238. (Advances in Soft Computing.) ISBN 3-7908-1396-6.
• NOVÁK, V. – PERFILIEVA, I. – GOTTWALD, S. Fuzzy relations equations via basic predicate fuzzy logic. In Computational Intelligent Systems for Applied Research. Ed. D. Ruan, P. D'hondt, E. E. Kerre. Singapore: World Scientific, 2002, pp. 113–120. ISBN 981-238-066-3.
• NOVÁK, V. Models and submodels of fuzzy theories. In Intelligent Systems for Information Processing: From Representation to Applications. Ed. B. Bouchon-Meunier, L. Foulloy, R. R. Yager. Amsterdam: Elsevier, 2003, pp. 363–373. ISBN 0-444-51379-5.
• NOVÁK, V. Fuzzy logic deduction with words applied to ancient sea level estimation. In Fuzzy Logic in Geology. Ed. R. V. Demicco, G. J. Klir. Academic Press, 2003, pp. 301–336. ISBN 0-12-415146-9.
• NOVÁK, V. Formal fuzzy logic and its use in modeling of vagueness and computing with words. In Neural Networks and Soft Computing. Ed. L. Rutkowski, J. Kacprzyk. Heidelberg: Physica-Verlag, 2003, pp. 62–72. (Advances in Soft Computing.) ISBN 3-7908-0005-8.
• NOVÁK, V. Fuzzy relation equations with words. In Fuzzy Partial Differential Equations and Relational Equations: Reservoir Characterization and Modeling. Ed. M. Nikravesh, L. A. Zadeh, V. Korotkikh. Berlin: Springer, 2004, pp. 167–185. (Studies in Fuzziness and Soft Computing; Vol. 142.) ISBN 3-540-20322-2.
• NOVÁK, V. Fuzzy sets as a special mathematical model of vagueness phenomenon. In Computational Intelligence, Theory and Applications. Ed. B. Reusch. Heidelberg: Springer, 2006, pp. 683–690. (Advances in Soft Computing; Vol. 38.) ISBN 3-540-34780-1.
• NOVÁK, V. Perception-based logical deduction. In Computational Intelligence, Theory and Applications. Ed. B. Reusch. Berlin: Springer, 2006, pp. 237–250. (Advances in Soft Computing.) ISBN 3-540-22807-1.
• NOVÁK, V. Mathematical fuzzy logic in modeling of natural language semantics. In Fuzzy Logic: A Spectrum of Theoretical & Practical Issues. Ed. P. P. Wang, D. Ruan, E. E. Kerre. Berlin: Springer, 2007, pp. 145–182. (Studies in Fuzziness and Soft Computing; Vol. 215.) ISBN 978-3-540-71257-2.
• NOVÁK, V. Comprehensive theory of trichotomous evaluative linguistic expressions. In Proceedings of the 26th Linz Seminar on Fuzzy Set Theory, Fuzzy Logics and Related Structures. Ed. S. Gottwald, P. Hájek, U. Höhle, E. P. Klement. To appear.
• NOVÁK, V. – MURINOVÁ, P. Omitting types in fuzzy predicate logics. In Proceedings of the 26th Linz Seminar on Fuzzy Set Theory, Fuzzy Logics and Related Structures. Ed. S. Gottwald, P. Hájek, U. Höhle, E. P. Klement. To appear.

Articles in scientific reviewed journals

• NOVÁK, V. Paradigm, formal properties and limits of fuzzy logic. International Journal of General Systems, 1996, Vol. 24, Iss. 4, pp. 377–405.
• NOVÁK, V. – ZORAT, A. – FEDRIZZI, M. A simple procedure for pattern pre-recognition based on fuzzy logic analysis. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1997, Vol. 5, Iss. 1, pp. 31–45.
• NOVÁK, V. Towards formal theory of soft computing. Soft Computing, 1998, Vol. 2, No. 1, pp. 4–6.
• NOVÁK, V. Open theories, consistency and related results in fuzzy logic. International Journal of Approximate Reasoning 1998, Vol. 18, Iss. 3–4, pp. 191–200.
• NOVÁK, V. On functions in fuzzy logic with evaluated syntax. Neural Network World, 2000, Vol. 10, No. 2, pp. 869–875. ISSN 1210-0552.
• NOVÁK, V. Antonyms and linguistic quantifiers in fuzzy logic. Fuzzy Sets and Systems, 2001, Vol. 124, Iss. 3, pp. 335–351.
• NOVÁK, V. Joint consistency of fuzzy theories. Mathematical Logic Quaterly, 2002, Vol. 48, No. 4, pp. 563–573.
• NOVÁK, V. Descriptions in full fuzzy type theory. Neural Network World, 2003, Vol. 13, No. 5, pp. 559–569. ISSN 1210-0552.
• NOVÁK, V. Intensional theory of granular computing. Soft Computing, 2004, Vol. 8, No. 4, pp. 281–290.
• NOVÁK, V. On fuzzy equality and approximation in fuzzy logic. Soft Computing, 2004, Vol. 8, No. 10, pp. 668–675.
• NOVÁK, V. – PERFILIEVA, I. On the Semantics of Perception-Based Fuzzy Logic Deduction. International Journal of Intelligent Systems, 2004, Vol. 19, Iss. 11, pp. 1007–1031.
• NOVÁK, V. On fuzzy type theory. Fuzzy Sets and Systems, 2005, Vol. 149, Iss. 2, pp. 235–273.
• NOVÁK, V. Are fuzzy sets a reasonable tool for modeling vague phenomena? Fuzzy Sets and Systems, 2005, Vol. 156, Iss. 3, pp. 341–348.
• NOVÁK, V. Which logic is the real fuzzy logic? Fuzzy Sets and Systems, 2006, Vol. 157, Iss. 5, pp. 635–641.
• NOVÁK, V. – LEHMKE, S. Logical structure of fuzzy IF-THEN rules. Fuzzy Sets and Systems, 2006, Vol. 157, Iss. 15, pp. 2003–2029.
• NOVÁK, V. Fuzzy logic with countable evaluated syntax revisited. Fuzzy Sets and Systems, 2007, Vol. 158, Iss. 9, pp. 929–936.
• NOVÁK, V. – PERFILIEVA, I.– DVOŘÁK, A. – CHEN, Q. – WEI, Q. – YAN, P. Mining pure linguistic associations from numerical data. International Journal of Approximate Reasoning, 2007.
• NOVÁK, V. – DVOŘÁK, A. A model of complex human reasoning in fuzzy logic in broader sense. Fuzzy Sets and Systems, 2008.
• NOVÁK, V. A formal theory of intermediate quantifiers. Fuzzy Sets and Systems. To appear.
• NOVÁK, V. – DVOŘÁK, A. Fuzzy logic provides the best working model of vagueness. Studia Logica. Submitted.

(Data as of 25-Jan-2007)

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