Fuzzy number addition with the application of horizontal membership functions A Piegat, M Pluciński The Scientific World Journal 2015, 2015 | 58 | 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 |
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 |
Selflearning neuro-fuzzy PID controller without simplifications A Piegat, S Jaszczak, M Pluciński Proceedings of the Third International Symposium on "Methods and Models in …, 1996 | 14 | 1996 |
Mini-models–local regression models for the function approximation learning M Pluciński Artificial Intelligence and Soft Computing: 11th International Conference …, 2012 | 13 | 2012 |
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 |
Fast-learning neuro-fuzzy PID-controller with minimal number of fuzzy regions A Piegat, M Pluciński Zielona Góra: Uniwersytet Zielonogórski, 1997 | 11 | 1997 |
Application of data with missing attributes in the probability RBF neural network learning and classification M Plucinski Artificial intelligence and security in computing systems, 63-72, 2003 | 8 | 2003 |
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 |
Evaluation of the mini-models robustness to data uncertainty with the application of the information-gap theory M Pluciński Artificial Intelligence and Soft Computing: 12th International Conference …, 2013 | 6 | 2013 |
Application of the ant colony algorithm for the path planning M Pluciński Enhanced Methods in Computer Security, Biometric and Artificial Intelligence …, 2005 | 6 | 2005 |
Inclusion principle of fuzzy arithmetic results A Piegat, M Pluciński Journal of Intelligent & Fuzzy Systems 42 (6), 4987-4998, 2022 | 5 | 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 |
Mini-model method based on k-means clustering M Pietrzykowski, M Pluciński Przegląd Elektrotechniczny 93 (1), 73-77, 2017 | 5 | 2017 |
Application of the information-gap theory for evaluation of nearest neighbours method robustness to data uncertainty M PLUCIŃSKI Electrical Review 88 (10b), 272-275, 2012 | 5 | 2012 |
Application of the probabilistic RBF neural network in the reinforcement learning of a mobile robot M Pluciński Polish Journal of Environmental Studies 16 (5B), 32-37, 2007 | 5 | 2007 |
Application of the probabilistic RBF neural network in multidimensional classification problems M Pluciński Advanced Computer Systems, 49-57, 2002 | 5 | 2002 |
Technical system and control algorithms of the underwater vehicle Krab II A Piegat, M Pluciński, W Skorski Proceedings of the First International Conference on Marine Technology "Odra …, 1995 | 5* | 1995 |
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 |
Application of the k nearest neighbors method to fuzzy data processing M Pluciński, M Pietrzykowski Przegląd Elektrotechniczny 93 (1), 77-81, 2017 | 4 | 2017 |