Viktor Pavliska

According to our database1, Viktor Pavliska authored at least 14 papers between 2003 and 2018.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
On Missing Membership Degrees: Modelling Non-existence, Ignorance and Inconsistency.
Proceedings of the Uncertainty Modelling in Data Science, 2018

Association Analysis on Interval-Valued Fuzzy Sets.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2018

Fuzzy Association Rules on Data with Undefined Values.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

2017
Undefined Values in Fuzzy Logic.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

An Algorithm for Intermediate Quantifiers and the Graded Square of Opposition Towards Linguistic Description of Data.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

2014
Specialized software for fuzzy natural logic and fuzzy transform applications.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Parallel mining of fuzzy association rules on dense data sets.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
F-transform and Fuzzy Natural logic in Time Series Analysis.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

2011
A linguistic approach to time series modeling with the help of F-transform.
Fuzzy Sets and Systems, 2011

2010
Analysis of seasonal time series using fuzzy approach.
Int. J. General Systems, 2010

Linguistic approach to time series analysis and forecasts.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Time Series Analysis and Prediction Based on Fuzzy Rules and the Fuzzy Transform.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
Analysis and prediction of time series using fuzzy transform.
Proceedings of the International Joint Conference on Neural Networks, 2008

2003
The concept of LFLC 2000 - its specificity, realization and power of applications.
Computers in Industry, 2003


  Loading...