Author Archives: administrator

About

Personal data:

  • Date of birth: May 13, 1979.
  • Married, two children.

Position:

  • Junior researcher, Head of the Department of Bio-statistics

Education:

  • Ph.D. degree in computer science and applied mathematics at the VŠB-Technical University in Ostrava, Faculty of Electrical Engineering and Computer Science.
  • Master degree (Ing.) in computer science at the VŠB-Technical University in Ostrava, Faculty of Electrical Engineering and Computer Science.

Contact:

  • Office C705, 30. dubna 22, 701 03 Ostrava, Czech Republic
  • Tel: +420-59-709 1450 (office)
  • michal.burda AT osu.cz

Topics of interest:

  • Statistics
  • Data-mining

Data for Amathnet tutorials

Publications

Scientific journals:

[1] M. Burda, P. Rusnok, M. Štěpnička, Mining Linguistic Associations for Emergent Flood Prediction Adjustment. Advances in Fuzzy Systems 2013 (2013) 1-10.

[2] A. Žák, M. Burda, M. Vecka, M. Zeman, E. Tvrznická, B. Staňková, Fatty Acid Composition Indicates the Two Types of Metabolic Syndrome Independently on Clinical and Laboratory Parameters. Physiological Research 63 (2014) 375-385.

Conference proceedings:

[1] M. Burda, M. Štěpnička, L. Štěpničková, Fuzzy Rule-Based Ensemble for Time Series Prediction: Progresses with Associations Mining. In: Proc. Soft Methods in Probability and Statistics, Heidelberg, 2015, pp. 261-271.

About

Personal data:

    • born: August 29, 1976
    • two children (Markétka and Daneček)

Position:

Research assistant at IRAFM
Office:

Room C601
30. dubna 22, 701 03 Ostrava, Czech Republic
Tel: +420-59709-1405 (office)
e-mail: martina.dankova AT osu.cz

Education:

      • Mgr., University of Ostrava, Applied Mathematics, 1999
      • PhD., University of Ostrava, Applied Mathematics, 2005

Topics of interest:

      • Fuzzy Logic
      • Approximate reasoning
      • Logical deduction
      • Fuzzy modeling
      • Functional systems

Teaching: Mathematical logic 2010
Further activities:

      • Cooperation on project Foundations of Fuzzy Mathematics (project) (an open project of the Prague working group on fuzzy logic)
      • Member of editorial boards of Soft Computing (Springer)
      • Member of organization committees of ERCIM 2005 and EUSFLAT 2007

Personal interests:

    • Hiking, biking, aikido

Publications

Chapters in monographs:

[1] I. Perfiljeva, M. Daňková, P. Hoďáková, M. Vajgl, F-Transform Based Image Fusion. In: Image Fusion, InTech, Rijeka, Croatia, 2011, pp. 3-22.

Scientific journals:

[1] B. Bede, H. Nobuhara, M. Daňková, A. Di Nola, Approximation by pseudo-linear operators. Fuzzy Sets and Systems 159 (2008) 804-820.

[2] B. Bede, H. Nobuhara, M. Daňková, A. Di Nola, Approximation by pseudo-linear operators. Fuzzy Sets and Systems 159 (2008) 804-820.

[3] L. Běhounek, M. Daňková, Relational compositions in Fuzzy Class Theory. FUZZY SET SYST 160 (2009) 1005-1036.

[4] M. Daňková, Approximation of extensional fuzzy relations over a residuated lattice. FUZZY SET SYST 161 (2010) 1973-1991.

[5] M. Daňková, Extensionality and Continuity of Fuzzy Relations. Journal of electrical engineering 12 (2000) 33-35.

[6] M. Daňková, Generalized extensionality of fuzzy relations. FUZZY SET SYST 148 (2004) 291-304.

[7] M. Daňková, Normal forms for fuzzy logic functions. Journal of electrical engineering 12 (2003) 80-84.

[8] M. Daňková, On approximate reasoning with graded rules. FUZZY SET SYST 158 (2007) 652-673.

[9] M. Daňková, On approximate reasoning with graded rules. FUZZY SET SYST 158 (2007) 652-673.

[10] M. Daňková, Representation of Logic Formulas by Normal Forms. KYBERNETIKA 38 (2002) 717-728.

[11] M. Daňková, A. Dvořák, Characterization and approximate representation of extensional fuzzy relations. Journal of Electrical Engineering 12 (2004) 51-55.

[12] M. Daňková, I. Perfilieva, Logical Approximation II. SOFT COMPUT 7 (2003) 228-233.

[13] M. Daňková, M. Štěpnička, Fuzzy Transform as an Additive Normal Form. FUZZY SET SYST 157 (2006) 1024-1035.

[14] M. Daňková, R. Valášek, Full Fuzzy Transform and the Problem of Image Fusion. Journal of electrical engineering 12 (2006) 82-84.

[15] I. Štajner-Papuga, T. Grbic, M. Daňková, Pseudo-Riemann-Stieltjes integral. INFORM SCIENCES 179 (2009) 2923-2933.

[16] I. Štajner-Papuga, T. Grbic, M. Daňková, Riemann-Stieltjes type integral based on generated pseudo-operations. Novi Sad Journal of Mathematics 36 (2006) 111-124.

[17] M. Štěpnička, U. Bodenhofer, M. Daňková, V. Novák, Continuity Issues of the Implicational Interpretation of Fuzzy Rules. FUZZY SET SYST 161 (2010) 1959-1972.

[18] M. Štěpnička, M. Daňková, On Fuzzy Normal Forms. Journal of Electrical Engineering 7/s (2007) 63-66.

[19] M. Štěpnička, M. Daňková, On Fuzzy Normal Forms. Journal of Electrical Engineering 7/s (2007) 63-66.

Conference proceedings:

[1] U. Bodenhofer, M. Daňková, M. Štěpnička, V. Novák, A Plea for the Usefulness of the Deductive Interpretation of Fuzzy Rules in Engineering Applications. In: Proc. FUZZ-IEEE, London, 2007, pp. 1572-1577.

[2] M. Daňková, Extensionality and Continuity. In: Proc. EUSFLAT 2003, Zittau, 2003, pp. 624-629.

[3] M. Daňková, Extensionality as a basis for fuzzy approximation. In: Proc. 8th International Conference on Fuzzy Set Theory an Applications FSTA’06, Liptovský Mikuláš, Slovensko, 2006, pp. 34-34.

[4] M. Daňková, Fuzzy Functions and Their Representations in Fuzzy Class Theory. In: Proc. NCMPL 2011, Prague, 2011, pp. 52-57.

[5] M. Daňková, Generalized Implicative Model of a Fuzzy Rule Base and its Properties. In: Proc. Cognitive 2011, 2011, pp. 116-121.

[6] M. Daňková, Generalized Implicative Model of a Fuzzy Rule Base and its Properties. In: Proc. Cognitive 2011, 2011, pp. 116-121.

[7] M. Daňková, Graded fuzzy rules. In: Proc. IFSA 2007, Heidelberg, 2007, pp. 481-490.

[8] M. Daňková, Graded fuzzy rules for functional dependencies: Normal form based formalization. In: Proc. IFSA 2011, Surabaya, 2011, pp. 2121-2126.

[9] M. Daňková, Graded fuzzy rules for functional dependencies: Normal form based formalization. In: Proc. IFSA 2011, Surabaya, 2011, pp. 2121-2126.

[10] M. Daňková, Integral based aggregation operators in the theory of fuzzy approximation. In: Hagenberg, 2006, pp. 23-31.

[11] M. Daňková, Normal forms based fuzzy systems. In: Proc. Joint EUSFLAT – LFA 2005, Barcelona, 2005, pp. 633-638.

[12] M. Daňková, REPRESENTATION THEOREM FOR FUZZY FUNCTIONS — Graded form. In: Proc. INTERNATIONAL CONFERENCE ON FUZZY COMPUTATION 2010, Portugal, 2010, pp. 56-64.

[13] M. Daňková, B. Bede, Aggregation Operators Based Fuzzy Approximations. In: Proc. INES2006, Londýn, 2006, pp. 154-159.

[14] M. Daňková, B. Bede, Aggregation Operators Based Fuzzy Approximations. In: Proc. INES2006, Londýn, 2006, pp. 154-159.

[15] M. Daňková, L. Běhounek, Automated proofs for composition-based fuzzy relational notions. In: Proc. Logic of Soft Computing 5 & 5th workshop of the ERCIM working group of Soft Computing, Malaga, 2006, pp. 96-102.

[16] M. Daňková, L. Běhounek, Relation Compositions in Fuzzy Class Theory. In: Proc. 8th International Conference on Fuzzy Set Theory an Applications FSTA’06, Liptovský Mikuláš, Slovensko, 2006, pp. 23-23.

[17] M. Daňková, I. Štajner-Papuga, B. Bede, Pseudo-Fourier transform. In: Proc. SISY, Subotica, 2006, pp. 145-153.

[18] M. Daňková, I. Štajner-Papuga, D. Hliněná, Pseudo Riemann-Stielties integral based Fourier transform. In: Proc. APLIMAT 2007, Bratislava, 2007, pp. 373-381.

[19] M. Daňková, M. Štěpnička, Approximation properties of inverse fuzzy transforms over a residuated lattice. In: Proc. IFSA/EUSFLAT’09, Lisabon, 2009, pp. 693-696.

[20] M. Daňková, M. Štěpnička, Genetic algorithms in fuzzy approximation. In: Proc. Joint EUSFLAT – LFA 2005, Barcelona, 2005, pp. 651-656.

[21] M. Daňková, M. Štěpnička, B. De Baets, Grades of monotonicity of fuzzy relations and their application to fuzzy rule bases. In: Proc. IEEE Symposium on Foundations of Computational Intelligence, Paris, 2011, pp. 37-44.

[22] M. Daňková, M. Štěpnička, B. De Baets, Grades of monotonicity of fuzzy relations and their application to fuzzy rule bases. In: Proc. IEEE Symposium on Foundations of Computational Intelligence, Paris, 2011, pp. 37-44.

[23] M. Daňková, M. Štěpnička, B. De Baets, Monotonicity of fuzzy rule bases: On differences between graded and non-graded approaches. In: Proc. EUSFLAT 2011, 2011, pp. 487-492.

[24] M. Daňková, R. Valášek, Image fusion using fuzzy transform. In: Hagenberg/Linz, 2006, pp. 49-53.

[25] T. Grbic, M. Daňková, I. Štajner-Papuga, Properties of the pseudo Riemann-Stiltjes integral. In: Proc. International Conference on Fuzzy Set Theory and Its Applications, Liptovský Ján, 2008, pp. 47-47.

[26] P. Hoďáková, M. Vajgl, I. Perfiljeva, M. Daňková, Classification of Damages on Jewelry Stones: Preprocessing. In: Proc. 9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013, Edmonton, Canada, 2013, pp. 783-788.

[27] P. Hoďáková, M. Vajgl, I. Perfiljeva, M. Daňková, Classification of Damages on Jewelry Stones: Preprocessing. In: Proc. 9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013, Edmonton, Canada, 2013, pp. 783-788.

[28] I. Perfilieva, M. Daňková, Image Fusion on the Basis of Fuzzy Transforms. In: Proc. of the 8th International FLINS Conference, New Jersey, 2008, pp. 471-476.

[29] I. Perfilieva, M. Daňková, Towards F-transform of a digher degree. In: Proc. IFSA/EUSFLAT’09, 2009, pp. 585-588.

[30] I. Perfiljeva, M. Daňková, Two Approaches to Image Fusion. In: Proc. ELEVENTH INTERNATIONAL CONFERENCE ON FUZZY SET THEORY AND APPLICATIONS, Liptovský Mikuláš, 2012, pp. 90-90.

[31] I. Perfiljeva, M. Daňková, P. Hoďáková, M. Vajgl, Edge detection using F-transform. In: Proc. ISDA 2011, 2011, pp. 672-677.

[32] I. Perfiljeva, M. Daňková, P. Hoďáková, M. Vajgl, The Use of F-Transform for Image Fusion Algorithms. In: Proc. SoCPaR 2010, 2010, pp. 472-477.

[33] I. Štajner-Papuga, T. Grbic, M. Daňková, A note on pseudo Riemann-Stieltjes integral. In: Proc. SISY2007, Subotica, 2007, pp. 59-63.

[34] I. Štajner-Papuga, T. Grbic, M. Daňková, Riemann-Stieltjes type integral based on generated pseudo-operations. In: Proc. SISY2006, Subotica, 2006, pp. 247-256.

[35] M. Štěpnička, B. De Baets, M. Daňková, Monotonicity of implicative fuzzy models. In: Proc. International Conference on Fuzzy Set Theory and Applications – FSTA, Liptovský Ján, 2008, pp. 121-122.

About

e-mail: antonin.dvorak AT osu.cz
phone: ++420-59-709-1406
born: August 18, 1970

Position:

  • Researcher at IRAFM

Education:

  • M.Sc. (Ing.) in Technical Cybernetics, Brno University of Technology, Brno, 1993
  • Ph.D. in Applied Mathematics, University of Ostrava, Ostrava, 2004
  • Assoc. Prof. (doc.) in Applied Mathematics, University of Ostrava, Ostrava, 2014

Author or co-author of more than 50 publications on fuzzy logic, generalized quantifiers, data mining, etc.

Main topics of interest:

  • fuzzy sets and fuzzy logic
  • commonsense reasoning
  • theoretical semantics
  • philosophical logic

Research Gate profile

Official page

Personal interests:

Personal page

Publications

Chapters in monographs:

[1] R. Bělohlávek, A. Dvořák, D. Jedelský, V. Novák, Object Oriented Implementation of Fuzzy Logic Systems. In: Intelligent Systems for Manufacturing. Multi-Agent Systems and Virtual Organizations, Kluwer Academic Publishers, Boston, 1998, pp. 589-594.

[2] A. Dvořák, Computational Properties of Fuzzy Logic Deduction. In: Computational Intelligence. Theory and Applications. Proceedings of 5th Fuzzy Days Dortmund, Springer-Verlag, Berlin, 1997, pp. 189-196.

[3] A. Dvořák, V. Novák, Fuzzy Type Theory as a Tool for Linguistic Analysis. In: The Logica Yearbook 2006, Filosofia, Prague, 2007, pp. 51-61.

[4] A. Dvořák, V. Novák, On the Extraction of Linguistic Knowledge in Databases Using Fuzzy Logic. In: Flexible Query Answering Systems. Recent Advances, Physica-Verlag, Heidelberg, 2001, pp. 445-454.

[5] A. Dvořák, V. Novák, The Extraction of Linguistic Knowledge Using Fuzzy Logic and Generalized Quantifiers.. In: Computational Intelligent Systems for Applied Research., World Scientific, Singapore, 2002, pp. 113-120.

Scientific journals:

[1] M. Daňková, A. Dvořák, Characterization and approximate representation of extensional fuzzy relations. Journal of Electrical Engineering 12 (2004) 51-55.

[2] A. Dvořák, On Linguistic Approximation in the Frame of Fuzzy Logic Deduction. Soft Computing 3 (1999) 111-116.

[3] A. Dvořák, On Preselection of Rules in Fuzzy Logic Deduction. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 8 (2000) 563-572.

[4] A. Dvořák, H. Habiballa, V. Novák, V. Pavliska, The concept of LFLC 2000 – its specificity, realization and power of applications. COMPUT IND 51 (2003) 269-280.

[5] A. Dvořák, M. Holčapek, Fuzzy measures and integrals defined on algebras of fuzzy subsets over complete residuated lattices. INFORM SCIENCES 185 (2012) 205-229.

[6] A. Dvořák, M. Holčapek, L-fuzzy Quantifiers of Type <1> Determined by Fuzzy Measures. FUZZY SET SYST 160 (2009) 3425-3452.

[7] A. Dvořák, M. Holčapek, Type <1,1> Fuzzy Quantifiers Determined by Fuzzy Measures on Residuated Lattices. Part I: Basic Definitions and Examples. FUZZY SET SYST 242 (2014) 31-55.

[8] A. Dvořák, M. Holčapek, Type <1,1> Fuzzy Quantifiers Determined by Fuzzy Measures on Residuated Lattices. Part II: Permutation and Isomorphism Invariances. FUZZY SET SYST 242 (2014) 56-88.

[9] A. Dvořák, D. Jedelský, J. Kostra, The Fields of Degree Seven over Rationals with a Normal Basis Generated by a Unit. Mathematica Slovaca 49 (1999) 143-153.

[10] A. Dvořák, V. Novák, Budoucnost robotů i aut: fuzzy. biz 12 (2007) 69-73.

[11] A. Dvořák, V. Novák, Budoucnost robotů i aut: fuzzy. biz 12 (2007) 69-73.

[12] A. Dvořák, V. Novák, Formal Theories and Linguistic Descriptions.. FUZZY SET SYST 143 (2004) 169-188.

[13] A. Dvořák, V. Novák, Fuzzy Logic Deduction with Crisp Observations. SOFT COMPUT 8 (2004) 256-263.

[14] A. Dvořák, V. Novák, Towards Automatic Modeling of Economic Texts. Mathware & Soft Computing 14 (2007) 217-231.

[15] A. Dvořák, V. Novák, Towards Automatic Modeling of Economic Texts. Mathware & Soft Computing 14 (2007) 217-231.

[16] A. Dvořák, V. Novák, V. Pavliska, Rules, Inferences and Robust Approximation at Work. ERCIM News 64 (2006) 31-32.

[17] A. Dvořák, M. Štěpnička, L. Štěpničková, On Redundancies in Systems of Fuzzy/Linguistic IF-THEN Rules under Perception-based Logical Deduction Inference. FUZZY SET SYST (2014).

[18] V. Novák, A. Dvořák, Formalization of Commonsense Reasoning in Fuzzy Logic in Broader Sense. Applied and Computational Mathematics 10 (2011) 106-121.

[19] V. Novák, I. Perfilieva, A. Dvořák, Q. Chen, Q. Wei, P. Yan, Mining pure linguistic associations from numerical data. INT J APPROX REASON 48 (2008) 4-22.

[20] V. Novák, I. Perfilieva, A. Dvořák, Q. Chen, Q. Wei, P. Yan, Mining pure linguistic associations from numerical data. INT J APPROX REASON 48 (2008) 4-22.

[21] V. Novák, M. Štěpnička, A. Dvořák, I. Perfilieva, V. Pavliska, L. Vavříčková, Analysis of Seasonal Time Series Using Fuzzy Approach. INT J GEN SYST 39 (2010) 305-328.

[22] I. Perfilieva, V. Novák, A. Dvořák, Fuzzy transform in the analysis of data. INT J APPROX REASON 48 (2008) 36-46.

[23] I. Perfilieva, V. Novák, A. Dvořák, Fuzzy transform in the analysis of data. INT J APPROX REASON 48 (2008) 36-46.

[24] M. Štěpnička, A. Dvořák, V. Pavliska, L. Vavříčková, A linguistic approach to time series modeling with help of the F-transform. FUZZY SET SYST 180 (2011) 164-184.

Conference proceedings:

[1] A. Dvořák, On Linguistic Approximation in the Frame of LFLC. In: Proc. IFSA 97, Prague, 1997, pp. 412-417.

[2] A. Dvořák, Properties of the Generalized Fuzzy Logic Inference. In: Proc. SIC’96 Budapest, Budapest, 1996, pp. 75-80.

[3] A. Dvořák, H. Habiballa, V. Pavliska, V. Novák, LFLC 2000 + MATLAB/SIMULINK – SYSTÉM PRO UNIVERSÁLNÍ APLIKACE FUZZY LOGIKY. In: Proc. Inteligentní systémy v praxi, Ostrava, 2003, pp. 47-48.

[4] A. Dvořák, M. Holčapek, A Characterization of Fuzzy Integrals Invariant with Respect to Permutation Groups. In: Proc. 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Heidelberg, 2012, pp. 208-217.

[5] A. Dvořák, M. Holčapek, A Characterization of Fuzzy Integrals Invariant with Respect to Permutation Groups. In: Proc. 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Heidelberg, 2012, pp. 208-217.

[6] A. Dvořák, M. Holčapek, Fuzzy integrals over complete residuated lattices. In: Proc. IFSA 2009 World Congress EUSFLAT 2009 World Conference, Lisabon, 2009, pp. 357-362.

[7] A. Dvořák, M. Holčapek, Fuzzy Measure Spaces Generated by Fuzzy Sets. In: Proc. 13th International Conference on Information Processing and Management of Uncertainty, Heidelberg, 2010, pp. 490-499.

[8] A. Dvořák, M. Holčapek, On Convergence of Fuzzy Integrals over Complete Residuated Lattices. In: Proc. EUSFLAT 2011, 2011, pp. 98-105.

[9] A. Dvořák, M. Holčapek, On Convergence of Fuzzy Integrals over Complete Residuated Lattices. In: Proc. EUSFLAT 2011, 2011, pp. 98-105.

[10] A. Dvořák, D. Jedelský, Defuzzification and Chaining of Rules in Hierarchical Fuzzy Systems. In: Proc. 1999 Eusflat-Estylf Joint Conference, Palma de Mallorca, 1999, pp. 199-202.

[11] A. Dvořák, V. Novák, A Fuzzy Logic Model of Detective Reasoning. In: Proc. IMPU’06, Paris, 2006, pp. 1572-1579.

[12] A. Dvořák, V. Novák, Automation of Human Reasoning in Economical Analysis. In: Proc. EUSFLAT 2007, Ostrava, 2007, pp. 103-109.

[13] A. Dvořák, V. Novák, Fuzzy Logic as a Methodology for the Treatment of Vagueness. In: Proc. logica 2004, Praha, 2005, pp. 141-152.

[14] A. Dvořák, V. Novák, Inconsistencies in Linguistic Descriptions from the Point of View of Fuzzy Logic. In: Proc. Third Conf. EUSFLAT 2003, Zittau/Goerlitz, 2003, pp. 523-528.

[15] A. Dvořák, V. Novák, V. Pavliska, H. Habiballa, LFLC 2000 + MATLAB/SIMULINK – SYSTÉM PRO UNIVERSÁLNÍ APLIKACE FUZZY LOGIKY. In: Proc. Matlab, Praha, 2002, pp. 80-85.

[16] A. Dvořák, M. Štěpnička, L. Vavříčková, Redundancies in systems of fuzzy/linguistic IF-THEN rules. In: Proc. EUSFLAT 2011, 2011, pp. 1022-1029.

[17] H. Habiballa, V. Novák, A. Dvořák, V. Pavliska, Využití softwarového balíku LFLC 2000. In: Proc. 2nd International Conference Aplimat 2003, Bratislava, 2003, pp. 355-358.

[18] H. Habiballa, V. Pavliska, A. Dvořák, Software system for time series prediction based on F-transform and linguistic rules. In: Proc. 8th International Conference on Applied Mathematics APLIMAT 2009, Bratislava, 2009, pp. 381-386.

[19] M. Holčapek, A. Dvořák, On Monotonicity Of Type <1, 1> Fuzzy Quantifiers Determined By Fuzzy Measures. In: Proc. 2011 IEEE International Conference on Fuzzy Systems, Taiwan, 2011, pp. 2383-2390.

[20] M. Holčapek, A. Dvořák, Type <1, 1> Fuzzy Quantifiers Determined by Fuzzy Measures. In: Proc. IEEE World Congress on Computational Intelligence, Barcelona, 2010, pp. 3168-3175.

[21] M. Holčapek, A. Dvořák, Type <1,1> Fuzzy Quantifiers Determined by Fuzzy Measures. In: Proc. 13th Czech-Japan seminar on data analysis and decision making in service sciences, Otaru, Japan, 2010, pp. 1-6.

[22] V. Novák, I. Perfilieva, A. Dvořák, Mining Pure Linguistic Associations on the Basis of Perceptions in Numerical Data. In: Proc. NAFIPS’06, Montreal, 2006, pp. 639-644.

[23] V. Novák, I. Perfilieva, A. Dvořák, Mining Pure Linguistic Associations on the Basis of Perceptions in Numerical Data. In: Proc. NAFIPS’06, Montreal, 2006, pp. 639-644.

[24] V. Novák, I. Perfilieva, A. Dvořák, Q. Chen, Q. Wei, P. Yan, MINING LINGUISTIC ASSOCIATIONS FROM NUMERICAL DATABASES. In: Proc. Eleventh International Fuzzy Systems Association World Congress, Beijing, 2005, pp. 546-551.

[25] I. Perfilieva, V. Novák, A. Dvořák, How to Mine Linguistic Associations using Fuzzy Transform. In: Proc. NAFIPS’06, Montreal, 2006, pp. 645-648.

[26] I. Perfilieva, V. Novák, V. Pavliska, A. Dvořák, M. Štěpnička, Analysis and Prediction of Time Series Using Fuzzy Transform. In: Proc. 2008 IEEE World Congress on Computational Intelligence/ FUZZ-IEEE 2008, Hong Kong, 2008, pp. 3876-3880.

[27] I. Perfilieva, V. Novák, V. Pavliska, A. Dvořák, M. Štěpnička, Prediction of Time Series by Soft Computing Methods. In: Proc. 10th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, Praha, 2007, pp. 119-129.

[28] M. Štěpnička, A. Dvořák, V. Pavliska, L. Vavříčková, Linguistic approach to time series analysis and forecasts. In: Proc. IEEE World Congress on Computational Intelligence, Barcelona, 2010, pp. 2149-2157.

About

Personal data:Martin Dyba

  • Date of birth: April 5, 1982.
  • Not married.

Education:

  • University of Ostrava, Applied Mathematics, Master degree (Mgr.), 2002-2007
  • University of Ostrava, Fuzzy Modelling, PhD. degree, 2007-2012

Main topic of interest:

  • Fuzzy modelling
  • Fuzzy sets and fuzzy logic

Contact:

  • Office C706
  • 30. dubna 22, 701 03 Ostrava, Czech Republic
  • Tel: +420-59-709 1407 (office)
  • e-mail: martin.dyba AT osu.cz

Hobbies:

  • Hiking, biking, geocaching.

Publications

Scientific journals:

[1] M. Dyba, M. Elzekey, V. Novák, Non-commutative first-order EQ-logics. FUZZY SET SYST (2014).

[2] M. Dyba, V. Novák, EQ-logics with delta connective. Iranian Journal of Fuzzy Systems 12 (2015) 41-61.

Conference proceedings:

[1] M. Dyba, V. Novák, On EQ-fuzzy logics with delta connective. In: Proc. EUSFLAT 2011, Amsterdam, 2011, pp. 156-162.

[2] H. Habiballa, V. Novák, M. Dyba, J. SCHENK, EQ-ALGEBRAS AUTOMATED GENERATION BASED ON GENETIC ALGORITHMS. In: Proc. MENDEL, Brno, 2014, pp. 341-346.

[3] H. Habiballa, V. Novák, M. Dyba, J. SCHENK, EQ-ALGEBRAS AUTOMATED GENERATION BASED ON GENETIC ALGORITHMS. In: Proc. MENDEL, Brno, 2014, pp. 341-346.

[4] V. Novák, M. Dyba, Non-commutative EQ-logics and their extensions. In: Proc. IFSA/EUSFLAT’09, Lisabon, 2009, pp. 1422-1427.

[5] V. Novák, M. Dyba, Non-commutative EQ-logics and their extensions. In: Proc. IFSA/EUSFLAT’09, Lisabon, 2009, pp. 1422-1427.

About

Contact:

  • 30. dubna 22, 701 03 Ostrava, Czech Republic
  • Office C704
  • Tel: +420-59-709 1413 (office)
  • magdalena.forys AT osu.cz

Education:

  • Master degree (Mgr.) at Jagiellonian University, Faculty of Mathematics and Science, 2010, thesis: Minimal and substitution shifts versus Thue – Morse sequence.

Publications

[1] M. Foryś, On Sequence Entropy of Thue-Morse shift, Schedae Informaticae, Vol.22, pp.19-25, 2013

[2] P.Wilczyński, P. Oprocha, M.Foryś, On invariant distributional chaos, factor maps and applications, J. Differential Equations, Vol.256 pp.475-502, 2014

[3] M.Foryś On growth rate of words in generalized Thue-Morse sequence, Int.J.Comp.Math, Vol.91 No.8 pp.1627-1634, 2014

[4] M.Foryś, W.Huang, J.Li, P.Oprocha Invariant scrambled sets, uniform rigidity and weak mixing – to be published in Isr.J.Math.