Krystyna Kiersztyn

According to our database, Krystyna Kiersztyn authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Choquet Integral-Based Aggregation for the Analysis of Anomalies Occurrence in Sustainable Transportation Systems.

Pawel Karczmarek, Lukasz Galka, Adam Kiersztyn, Michal Dolecki, Krystyna Kiersztyn, Witold Pedrycz

IEEE Trans. Fuzzy Syst., February, 2023

An Application of Fuzzy Techniques to Predict the Polymorphism of Selected Microsatellite Sequences.

Adam Kiersztyn, Krystyna Kiersztyn, Grzegorz Panasiewicz, Martyna Bieniek-Kobuszewska

Proceedings of the Artificial Intelligence and Soft Computing, 2023

The Concept of a City Bike Network Management System Using Fuzzy Sets.

Adam Kiersztyn, Krystyna Kiersztyn, Michal Dolecki

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

Detection and Classification of Anomalies in Large Datasets on the Basis of Information Granules.

Adam Kiersztyn, Pawel Karczmarek, Krystyna Kiersztyn, Witold Pedrycz

IEEE Trans. Fuzzy Syst., 2022

Intuitively adaptable outlier detector.

Krystyna Kiersztyn

Stat. Anal. Data Min., 2022

An Application of Information Granules to Detect Anomalies in COVID-19 Reports.

Adam Kiersztyn, Krystyna Kiersztyn, Rafal Lopucki, Patrycja Jedrzejewska-Rzezak

Proceedings of the Artificial Intelligence and Soft Computing, 2022

The Impact of Data Preprocessing on Prediction Effectiveness.

Adam Kiersztyn, Krystyna Kiersztyn

Proceedings of the Artificial Intelligence and Soft Computing, 2022

Analysis of the Homozygosity of Microsatellite Markers by Using Fuzzy Sets.

Adam Kiersztyn, Krystyna Kiersztyn, Martyna Bieniek-Kobuszewska, Grzegorz Panasiewicz

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Fuzzy Modification of Analytic Hierarchy Process Using GUI Tools.

Adam Kiersztyn, Krystyna Kiersztyn

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Fuzzy Rule-based Outlier Detector.

Krystyna Kiersztyn, Adam Kiersztyn

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

A Comprehensive Analysis of the Impact of Selecting the Training Set Elements on the Correctness of Classification for Highly Variable Ecological Data.

Adam Kiersztyn, Rafal Lopucki, Krystyna Kiersztyn, Pawel Karczmarek, Pawel Powroznik, Dariusz Czerwinski, Witold Pedrycz

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

The Concept of Granular Representation of the Information Potential of Variables.

Adam Kiersztyn, Pawel Karczmarek, Krystyna Kiersztyn, Rafal Lopucki, Stanislaw M. Grzegórski, Witold Pedrycz

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Classification of Complex Ecological Objects with the Use of Information Granules.

Adam Kiersztyn, Krystyna Kiersztyn, Pawel Karczmarek, Marek Kaminski, Ignacy Kitowski, Adam Zbyryt, Rafal Lopucki, Grzegorz Pitucha, Witold Pedrycz

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

The Concept of Detecting and Classifying Anomalies in Large Data Sets on a Basis of Information Granules.

Adam Kiersztyn, Pawel Karczmarek, Krystyna Kiersztyn, Witold Pedrycz

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020