REVIEW OF THE ACHIEVEMENTS OF EMPLOYEES OF THE LUBLIN UNIVERSITY OF TECHNOLOGY IN THE FIELD OF FUZZY SET UTILIZATION

Maciej Celiński

m.celinski@pollub.pl
Lublin University of Technology, Faculty of Mathematics and Technical Computer Science (Poland)
https://orcid.org/0000-0001-8412-207X

Adam Kiersztyn


Lublin University of Technology, Faculty of Mathematics and Technical Computer Science (Poland)
https://orcid.org/0000-0001-5222-8101

Abstract

In this paper, we present a review of research on the applications of fuzzy set theory conducted by Lublin University of Technology researchers. We focus on analyzing research trends and practical applications of fuzzy sets in time series analysis and missing data imputation. Fuzzy sets constitute a key methodology for addressing data uncertainty and imprecision. We discuss various techniques within the field of fuzzy sets, including fuzzy classification, outlier detection, and missing data imputation, emphasizing their significance across various fields of science and social life. The presented results indicate the potential for innovative research and further development in this field. The academic community at Lublin University of Technology plays a significant role in promoting and advancing fuzzy set theory, which is crucial for future scientific and technological research.


Keywords:

fuzzy sets, fuzzy methods, outlier detection, fuzzy classification, missing data filling

Badurowicz M., Montusiewicz J., Karczmarek P.: Detection of Road Artefacts Using Fuzzy Adaptive Thresholding. IEEE International Conference on Fuzzy Systems, 2020 [https://doi.org/10.1109/FUZZ48607.2020.9177822].
  Google Scholar

Badurowicz M., Karczmarek P., Montusiewicz J.: Fuzzy Extensions of Isolation Forests for Road Anomaly Detection. IEEE International Conference on Fuzzy Systems, 2021 [https://doi.org/10.1109/FUZZ45933.2021.9494469].
  Google Scholar

Bojanowska A. B., Kulisz M.: Using Fuzzy Logic to Make Decisions Based on the Data From Customer Relationship Management Systems. Advances in Science and Technology Research Journal 17(5), 2023 [https://doi.org/10.12913/22998624/172374].
  Google Scholar

Czerwinski D. et al.: An Application of Fuzzy C-Means, Fuzzy Cognitive Maps, and Fuzzy Rules to Forecasting First Arrival Date of Avian Spring Migrants. IEEE International Conference on Fuzzy Systems, 2020 [https://doi.org/10.1109/FUZZ48607.2020.9177763].
  Google Scholar

Czerwinski D. et al.: Influence of the Fuzzy Robust Gamma Rank Correlation, Fuzzy C-Means, and Fuzzy Cognitive Maps to Predict the Z Generation's Acceptance Attitudes Towards Internet Health Information. IEEE International Conference on Fuzzy Systems, 2021 [https://doi.org/10.1109/FUZZ45933.2021.9494596].
  Google Scholar

Dolecki M. et al.: On the Understanding of Anomalies in the Oculography Data and Their Classification with an Application of Fuzzy Aggregators. IEEE International Conference on Fuzzy Systems, 2022 [https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882877].
  Google Scholar

Gola A., Kłosowski G.: Development of computer-controlled material handling model by means of fuzzy logic and genetic algorithms. Neurocomputing 338, 2019 [https://doi.org/10.1016/j.neucom.2018.05.125].
  Google Scholar

Jasiulewicz-Kaczmarek M., Żywica P., Gola A.: Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach. Journal of Intelligent Manufacturing 32(5), 2021 [https://doi.org/10.1007/s10845-020-01734-3].
  Google Scholar

Karczmarek P. et al.: K-Medoids Clustering and Fuzzy Sets for Isolation Forest. IEEE International Conference on Fuzzy Systems, 2021 [https://doi.org/10.1109/FUZZ45933.2021.9494460].
  Google Scholar

Karczmarek P. et al.: Fuzzy C-Means-based Isolation Forest. Applied Soft Computing 106, 2021 [https://doi.org/10.1016/j.asoc.2021.107354].
  Google Scholar

Kiersztyn A. et al.: Detection and Classification of Anomalies in Large Datasets on the Basis of Information Granules, in IEEE Transactions on Fuzzy Systems 30(8), 2022, 2850–2860 [https://doi.org/10.1109/TFUZZ.2021.3076265].
  Google Scholar

Kiersztyn A. et al.: Analysis of the Homozygosity of Microsatellite Markers by Using Fuzzy Sets. IEEE International Conference on Fuzzy Systems, 2022 [https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882630].
  Google Scholar

Kiersztyn A., Kiersztyn K.: Fuzzy Modification of Analytic Hierarchy Process Using GUI Tools. IEEE International Conference on Fuzzy Systems, 2022 [https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882579].
  Google Scholar

Kaczmarek-Majer K., Kiersztyn A.: Experimental Evaluation of the Accuracy of an Ensemble of Fuzzy Methods for Classification of Episodes in Bipolar Disorder. IEEE International Conference on Fuzzy Systems, 2022 [https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882582].
  Google Scholar

Kiersztyn A. et al.: Data Imputation in Related Time Series Using Fuzzy Set-Based Techniques. IEEE International Conference on Fuzzy Systems, 2020 [https://doi.org/10.1109/FUZZ48607.2020.9177617].
  Google Scholar

Kiersztyn K., Kiersztyn A.: Fuzzy Rule-based Outlier Detector. IEEE International Conference on Fuzzy Systems, 2022 [https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882567].
  Google Scholar

Kiersztyn A. et al.: The use of information granules to detect anomalies in spatial behavior of animals. Ecological Indicators 136, 2022 [https://doi.org/10.1016/j.ecolind.2022.108583].
  Google Scholar

Karczmarek P., Kiersztyn A., Pedrycz W.: Fuzzy Set-Based Isolation Forest. IEEE International Conference on Fuzzy Systems, 2020 [https://doi.org/10.1109/FUZZ48607.2020.9177718].
  Google Scholar

Karczmarek P. et al.: The Assessment of Importance of Selected Issues of Software Engineering, IT Project Management, and Programming Paradigms Based on Graphical AHP and Fuzzy C-Means. IEEE International Conference on Fuzzy Systems, 2020 [https://doi.org/10.1109/FUZZ48607.2020.9177591].
  Google Scholar

Kiersztyn A. et al.: Classification of Companies Based on Fuzzy Levels of Innovation. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2022 [https://doi.org/10.1109/FUZZIEEE55066.2022.9882734].
  Google Scholar

Witczak M. et al.: A fuzzy logic approach to remaining useful life control and scheduling of cooperating forklifts. In: IEEE CIS International Conference on Fuzzy Systems 2021: Conference Proceedings, 2021, 1–8 [https://doi.org/10.1109/FUZZ45933.2021.9494562].
  Google Scholar

Wittbrodt P. et al.: Identification of the Impact of the Availability Factor on the Efficiency of Production Processes Using the AHP and Fuzzy AHP Methods. Applied Computer Science 18(4), 2022 [https://doi.org/10.35784/acs-2022-32].
  Google Scholar

Zadeh L. A.: Fuzzy Sets. Information and Control, 1965.
  Google Scholar

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Published
2024-06-30

Cited by

Celiński, M., & Kiersztyn, A. (2024). REVIEW OF THE ACHIEVEMENTS OF EMPLOYEES OF THE LUBLIN UNIVERSITY OF TECHNOLOGY IN THE FIELD OF FUZZY SET UTILIZATION. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(2), 133–140. https://doi.org/10.35784/iapgos.5866

Authors

Maciej Celiński 
m.celinski@pollub.pl
Lublin University of Technology, Faculty of Mathematics and Technical Computer Science Poland
https://orcid.org/0000-0001-8412-207X

Authors

Adam Kiersztyn 

Lublin University of Technology, Faculty of Mathematics and Technical Computer Science Poland
https://orcid.org/0000-0001-5222-8101

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