The realistic tolerance solution to a system of linear fuzzy and interval equations using the Shifted Membership Function method A Piegat, M Pluciński Information Sciences, 120619, 2024 | | 2024 |
Solution of the basic tolerant interval and fuzzy equation using Shifted Membership Function method with examples of applications A Piegat, M Pluciński Information Sciences 660, 120137, 2024 | 1 | 2024 |
Use of the data mining algorithms for the analysis of adverse event risks associated with antiretroviral treatment P Klesk, M Horecki, M Plucinski, A Bera, D Sychel, M Korzen, D Chober, ... HIV MEDICINE 24, 596-596, 2023 | | 2023 |
A realistic tolerant solution of a system of interval linear equations with the use of multidimensional interval arithmetic A Piegat, M Pluciński International Journal of Applied Mathematics and Computer Science 33 (2), 2023 | 2 | 2023 |
Realistic optimal tolerant solution of the quadratic interval equation and determining the optimal control decision on the example of plant fertilization A Piegat, M Pluciński Applied Sciences 12 (21), 10725, 2022 | 4 | 2022 |
Inclusion principle of fuzzy arithmetic results A Piegat, M Pluciński Journal of Intelligent & Fuzzy Systems 42 (6), 4987-4998, 2022 | 5 | 2022 |
The optimal tolerance solution of the basic interval linear equation and the explanation of the Lodwick’s anomaly A Piegat, M Pluciński Applied Sciences 12 (9), 4382, 2022 | 7 | 2022 |
The differences between the horizontal membership function used in multidimensional fuzzy arithmetic and the inverse membership function used in gradual arithmetic A Piegat, M Pluciński Granular Computing, 1-10, 2021 | 5 | 2021 |
Universal algebraic solution of the interval linear system: AX+ BX= Y A Piegat, M Pluciński Procedia Computer Science 192, 526-532, 2021 | 1 | 2021 |
Application of the multidimensional RDM-arithmetic for verification of nestedness of the solution of the linear fuzzy equation system A Piegat, M Pluciński Procedia Computer Science 192, 533-542, 2021 | 3 | 2021 |
Projekt systemu informatycznego wsparcia ośrodków terapii behawioralnej pracujących z osobami dotkniętymi zaburzeniami rozwojowymi - SYSABA J Kołodziejczyk, M Krakowiak, M Pluciński, E Adamus Przemysł 4.0 Algorytmizacja problemów oraz digitalizacja procesów i urządzeń …, 2019 | | 2019 |
Zastosowanie lokalnych modeli regresyjnych (mini-modeli) w przetwarzaniu informacji niepewnych M Pluciński Wydawnictwo Uczelniane Zachodniopomorskiego Uniwersytetu Technologicznego …, 2019 | | 2019 |
Processing of-numbers Using the k Nearest Neighbors Method M Pluciński International Multi-Conference on Advanced Computer Systems, 76-85, 2018 | | 2018 |
Modelowanie semantycznej struktury danych na przykładzie systemu SYSABA J Kołodziejczyk, M Pluciński, M Krakowiak | | 2018 |
Fuzzy number division and the multi-granularity phenomenon A Piegat, M Pluciński Bulletin of the Polish Academy of Sciences. Technical Sciences 65 (4), 497-511, 2017 | 25 | 2017 |
Mini-model method based on k-means clustering M Pietrzykowski, M Pluciński Przegląd Elektrotechniczny 93 (1), 73-77, 2017 | 5 | 2017 |
Application of the k nearest neighbors method to fuzzy data processing M Pluciński, M Pietrzykowski Przegląd Elektrotechniczny 93 (1), 77-81, 2017 | 4 | 2017 |
Some advantages of the RDM-arithmetic of intervally-precisiated values A Piegat, M Pluciński International Journal of Computational Intelligence Systems 8 (6), 1192-1209, 2015 | 12 | 2015 |
Computing with words with the use of inverse RDM models of membership functions A Piegat, M Pluciński International Journal of Applied Mathematics and Computer Science 25 (3 …, 2015 | 40 | 2015 |
Application of the reinforcement learning for selecting fuzzy rules representing the behaviour policy of units in RTS-type games M Kutyło, M Pluciński, M Laskowska Przegląd Elektrotechniczny 91 (2), 142-146, 2015 | | 2015 |