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Publikacje w roku 2018

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 Artykuły w czasopismach z listy A MNiSW

  1. Rami Al-Hmouz, Witold Pedrycz, Abdullah Balamash, Ali Morfeq: Hierarchical System Modeling, w: IEEE Transactions on Fuzzy Systems, 2018, Vol. 26 (1), s. 258-269  
  2. Victor Alfaro-Garcia, Jose Maria Merigo, Anna M. Gil-Lafuente, Janusz Kacprzyk: Logarithmic aggregation operators and distance measures, w: International Journal of Intelligent Systems, 2018, Vol. 33 (7), s. 1488-1506  
  3. Rami Al-Hmouz, Witold Pedrycz, Abdullah Balamash, Ali Morfeq: Granular description of data in a non-stationary environment, w: Soft Computing, 2018, Vol. 22 (2), s. 523-540  
  4. Ewa M. Bednarczuk, Anna Jezierska-Węsierska, Krzysztof Rutkowski: Inertial proximal best approximation primal-dual algorithm, w: Computational Optimization and Applications, 2018, Vol. 71 (3), s. 767-794   
  5. Ewa M. Bednarczuk, Janusz Miroforidis, Przemysław Pyzel: A multi-criteria approach to aproximate solutions of multiple-choice knapsack problem, w: Computational Optimization and Applications, 2018, Vol. 70 (3), s. 889-910
  6. Ewa M. Bednarczuk, Monika Syga: On minimax theorems for lower semicontinous functions in Hilbert spaces, w: Journal of Convex Analysis, 2018, Vol. 25 (2), s. 389-402  
  7. Ewa M. Bednarczuk, Aleksiej Tretiakow, Agnieszka Prusińska: Implicit function and tangent cone theorems for singular inclusions, w: Optimization Letters, 2018, s. 1-11   
  8. Francesca Bucci, Irena Lasiecka: Feedback Control of the Acoustic Pressure in Ultrasonic Wave Propagation, w: Optimization, 2018, s. 1-44   
  9. Rotyslav Bun, Zbigniew Nahorski, Joanna Horabik-Pyzel, Olha Danylo, Linda See, Nadiya Charkovska, Petro Topylko, Maria Halushchak, Myroslava Lesiv, Mariia Valakh, Vitaliy Kinakh: Development of a high resolution spatial inventory of GHG emissions for Poland from stationary and mobile sources, w: Mitigation and Adaptation Strategies for Global Change, 2018, Vol. 0, s. 1-28  
  10. Nadiya Charkovska, Joanna Horabik-Pyzel, Rotyslav Bun, Olha Danylo, Zbigniew Nahorski, Matthias Jonas, Xiangyang Xu: High resolution spatial distribution and associated uncertainties of greenhouse gas emissions from the agricultural sector, w: Mitigation and Adaptation Strategies for Global Change, 2018, Vol. 0, s. 1-25  
  11. Małgorzata Charytanowicz, Piotr Kulczycki, Piotr A. Kowalski, Szymon Łukasik, Róża Czabak-Garbacz: An Evaluation of Utilizing Geometric Features for Wheat Grain Classification using X-ray Images, w: Computers and Electronics in Agriculture, 2018, Vol. 144, s. 260-268  
  12. Jiankui Feng, Erwei Yin, Jing Jin, Rami Saab, Ian Daly, Xingyu Wang, Dewen Hu, Andrzej Cichocki: Towards correlation-based time window selection method for motor imagery BCIs, w: Neural Networks, 2018, Vol. 102, s. 87-95  
  13. Piotr Holnicki, Andrzej Kałuszko, Zbigniew Nahorski, Marko Tainio: Intra-urban variability of the intake fraction from multiple emission sources, w: Atmospheric Pollution Research, 2018, Vol. 9 (6), s. 1184-1193  
  14. Xingchen Hu, Witold Pedrycz, Xianmin Wang: Fuzzy classifiers with information granules in feature space and logicbased computing, w: Pattern Recognition, 2018, Vol. 80, s. 156-167  
  15. Qinghua Hu, Lingjun Zhang, Yucan Zhou, Witold Pedrycz: Large-Scale Multimodality Attribute Reduction With MultiKernel Fuzzy Rough Sets, w: IEEE Transactions on Fuzzy Systems, 2018, Vol. 26 (1), s. 226-238   
  16. Wei Huang, Sung-Kwun Oh, Witold Pedrycz: Hybrid Fuzzy Wavelet Neural Networks Architecture Based on Polynomial Neural Networks and Fuzzy Set/Relation Inference-Based Wavelet Neurons, w: IEEE Transactions on Neural Networks and Learning Systems, 2018, Vol. 29 (8), s. 3452 -3462   
  17. Mihaela Ignatova, Igor Kukavica, Irena Lasiecka, Amjad Tuffaha: Small data global existence for a fluid-structure model, w: Nonlinearity, 2017, Vol. 30 (2), s. 848-898   
  18. Katarzyna Iwińska, Małgorzata Blicharska, Livia Pierotti, Marko Tainio, Audrey de Nazelle: Cycling in Warsaw, Poland – Perceived enablers and barriers according to cyclists and non-cyclists, w: Transportation Research Part A, 2018, Vol. 113, s. 291-301   
  19. Katarzyna Kaczmarek-Majer, Olgierd Hryniewicz: Application of Linguistic Summarization Methods in Time Series Forecasting, w: Information Sciences, 2019, Vol. 478, s. 580-594  
  20. Ignacy Kaliszewski, Janusz Miroforidis: On upper approximations of Pareto fronts, w: Journal of Global Optimization, 2018, Vol. 72 (3), s. 475-490  
  21. Paweł Karczmarek, Adam Kiersztyn, Witold Pedrycz: Generalized Choquet Integral for Face Recognition, w: International Journal of Fuzzy Systems, 2018, Vol. 20 (3), s. 1047-1055  
  22. Anna Kazmierczak, Jan Sokołowski, Antoni Żochowski: Drag minimization for the obstacle in compressible flow using shape derivatives and finite volume, w: Mathematical Control and Related Fields, 2018, Vol. 8 (1), s. 89-115  
  23. Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz: Reinforced hybrid interval fuzzy neural networks architecture: Design and analysis, w: Neurocomputing, 2018, Vol. 303, s. 20-36  
  24. Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz: Design of double fuzzy clustering-driven context neural networks, w: Neural Networks, 2018, Vol. 104, s. 1-14   
  25. Piotr A. Kowalski, Maciej Kusy: Determining Significance of Input Neurons for Probabilistic Neural Network by Sensitivity Analysis Procedure, w: Computational Intelligence, 2018, Vol. 34 (3), s. 895-916  
  26. Wiesław Krajewski, Umberto Viaro: Routh-type L2 Model Reduction Revisited, w: Kybernetika, 2018, Vol. 54 (3), s. 557-575
  27. Maciej Krawczak, Grażyna Szkatuła: Bidirectional comparisin of multi-attribute qualitative objects, w: Information Sciences, 2018, Vol. 436-437, s. 367-387   
  28. Piotr Kulczycki, Małgorzata Charytanowicz, Piotr A. Kowalski, Szymon Łukasik: Identification of atypical (rare) elements — a conditional, distribution-free approach, w: IMA Journal of Mathematical Control and Information, 2018, Vol. 35 (3), s. 923-937  
  29. Irena Lasiecka, Mato Fu, Rodrigo Monteiro: Long-time dynamics of vectorial von Karman system with nonlinear thermal effects and free boundary conditions, w: Discrete and Continuous Dynamical Systems, 2018, Vol. 23 (3), s. 1037-1072   
  30. Irena Lasiecka, Rodrigo Monteiro, Mato Fu: Global smooth solutions for dynamics of thermal shallow shells without vertical dissipation., w: Transactions of American Mathematical Society, 2018, s. 1-43   
  31. Irena Lasiecka, Justin Webster: Flow Structure Interactions-A survey, w: Nonlinear World, 2018, Vol. vol 1, s. 32-52  
  32. Tuong Le, Anh Nguyen, Bao Huynh, Bay Vo, Witold Pedrycz: Mining constrained inter-sequence patterns: a novel approach to cope with item constraints, w: Applied Intelligence, 2018, Vol. 48 (5), s. 1327-1343 (Lista A 2017 - 30
  33. Caihui Liu, Witold Pedrycz, Feng Jiang, Meizhi Wang: Decision-theoretic rough set approaches to multi-covering approximation spaces based on fuzzy probability measure, w: Journal of Intelligent & Fuzzy Systems, 2018, Vol. 34 (3), s. 1917-1931  
  34. Caihui Liu, Witold Pedrycz, Jin Qian, Meizhi Wang: Covering-based multigranulation decision-theoretic rough set approaches with new strategies, w: Journal of Intelligent & Fuzzy Systems, 2018, Vol. 35 (1), s. 1179-1191  
  35. Shuai Liu, Witold Pedrycz, Adam Gacek, Yaping Dai: Development of information granules of higher type and their applications to granular models of time series, w: Engineering Applications of Artificial Intelligence, 2018, Vol. 71, s. 60-72  
  36. Fang Liu, Qin Yu, Witold Pedrycz, Wei-Guo Zhang: A group decision making model based on an inconsistency index of interval multiplicative reciprocal matrices, w: Knowledge-Based Systems, 2018, Vol. 145, s. 67-76   
  37. Vincenzo Loia, Francesco Orciuoli, Witold Pedrycz: Towards a granular computing approach based on Formal Concept Analysis for discovering periodicities in data, w: Knowledge-Based Systems, 2018, Vol. 146, s. 1-11   
  38. Jakub Markiewicz, Magdalena Pilarska, Sławomir Łapiński, Agnieszka Kaliszewska, Rafał Bieńkowski, Anna Cena: Quality assessment of the use of medium format camera in the investigation of wall paintings. Image-based approach, w: Measurement, 2018, Vol. 132, s. 224-237   
  39. Ruben Martin-Clemente, Javier Olias, Deepa Beeta Thiyam, Andrzej Cichocki, Sergio Cruces: Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison, w: Entropy, 2018, Vol. 20 (1), s. 1-29   
  40. Mukesh Kumar Mehlawat, Pankaj Gupta, Witold Pedrycz: A New Possibilistic Optimization Model for Multiple Criteria Assignment Problem, w: IEEE Transactions on Fuzzy Systems, 2018, Vol. 26 (4), s. 1775 -1788   
  41. Roozbeh Morsali, Ryszard Kowalczyk: Demand response based day-ahead scheduling and battery sizing in microgrid management in rural areas, w: IET Renewable Power Generation, 2018, Vol. 12 (14), s. 1651-1658   
  42. Andrzej Myśliński, Dominik Pisarski: Online adaptive algorithm for optimal control of structures, w: Optimal Control Applications and Methods, 2017, Vol. 38 (6), s. 1168-1186   
  43. Long Thanh Ngo, Trong Hop Dang, Witold Pedrycz: Towards interval-valued fuzzy set-based collaborative fuzzy clustering algorithms, w: Pattern Recognition, 2018, Vol. 81, s. 404-416   
  44. A. Novotny, Jan Sokołowski, Antoni Żochowski: Topological derivatives of shape functionals. Part II: First order methods and applications, w: Journal of Optimization Theory and Applications, 2019, Vol. 180, s. 1-28   
  45. A. Novotny, Jan Sokołowski, Antoni Żochowski: Topological derivatives of shape functionals. Part III: SecondOrder Methods and Applications, w: Journal of Optimization Theory and Applications, 2019, Vol. 180, s. 1-22   
  46. Piotr Nowak, Olgierd Hryniewicz: On central limit theorems for IV-events, w: Soft Computing, 2018, Vol. 22 (8), s. 2471-2483  
  47. Karol Opara, Jarosław Arabas: The contour fitting property of differential mutation, w: Swarm and Evolutionary Computation, 2018, s. -   
  48. Karol Opara, Jarosław Arabas: Differential Evolution: A survey of theoretical analyses, w: Swarm and Evolutionary Computation, 2019, Vol. 44, s. 546-558  
  49. Karol Opara, Jarosław Arabas: Comparison of mutation strategies in Differential Evolution – A probabilistic perspective, w: Swarm and Evolutionary Computation, 2018, Vol. 39, s. 53-69
  50. Jan Owsiński, Janusz Kacprzyk, Stanislau Shyrai, Eulalia Szmidt, Dmitri A. Viattchenin, Jorge Hernandez Hormazabal: A Heuristic Algorithm of Possibilistic Clustering with Partial Supervision for Classification of the Intuitionistic Fuzzy Data, w: Journal of Multiple-Valued Logic and Soft Computing, 2018, Vol. 31 (4), s. 399-423  
  51. Łukasz Pałkowski, Maciej Karolak, Bartłomiej Kubiak, Jerzy Błaszczyński, Roman Słowiński, Markus Thommes, Peter Kleinebudde, Jerzy Krysiński: Optimization of pellets manufacturing process using rough set theory, w: European Journal of Pharmaceutical Sciences, 2018, Vol. 124, s. 295-303   
  52. Simon Parkinson, Marek Makowski, Volker Krey, Khaled Sedraoui, Abdulrahman Almasoud, Ned Djilali: A multicriteria model analysis framework for assessing integrated water-energy system transformation pathways, w: Applied Energy , 2018, Vol. 210, s. 477-486   
  53. Irena Pawłow-Niezgódka, W.M. Zajączkowski: Three-dimensional thermo-visco-elasticity with the Einstein-Debye (\theta^3 + \theta) - law for the specific heat. Global regular solvability, w: Topological Methods in Nonlinear Analysis, 2018, Vol. 52 (1), s. 161-193
  54. Barbara Pękala, Eulalia Szmidt, Janusz Kacprzyk: Group Decision Support under Intuitionistic Fuzzy Relations: The Role of Weak Transitivity and Consistency, w: International Journal of Intelligent Systems, 2018, Vol. 33 (10), s. 2078-2095   
  55. Yuhua Qian, Xinyan Liang, Qi Wang, Jiye Liang, Bing Liu, Andrzej Skowron, Yiyu Yao, Jianmin Ma, Chuangyin Dang: Local rough set: A solution to rough data analysis in big data, w: International Journal of Approximate Reasoning, 2018, Vol. 97, s. 38-63   
  56. Y Qiu, Guoxu Zhou, Qibin Zhao, Andrzej Cichocki: Comparative study on the classification methods for breast cancer diagnosis, w: Bulletin of the Polish Academy of Sciences-Technical Sciences, 2018, Vol. 66 (6), s. 841-848   
  57. Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz: Identification of Black Plastics Based on Fuzzy RBF Neural Networks: Focused on Data Preprocessing Techniques Through Fourier Transform Infrared Radiation, w: IEEE Transactions on Industrial Informatics, 2018, Vol. 14 (5), s. 1802-1813   
  58. Maciej Romaniuk: Optimization of maintenance costs of a pipeline for a V-shaped hazard rate of malfunction intensities, w: Eksploatacja i Niezawodnosc - Maintenance and Reliability, 2018, Vol. 20 (1), s. 46-56  
  59. Shounak Roychowdhury, Witold Pedrycz: Automatic Discovery of Clusters by Removing Noisy Data, w: International Journal of Intelligent Systems, 2018, Vol. 33 (9), s. 1777-1797  
  60. Emran Saleh, J. Błaszczyński, Antonio Moreno, Aida Valls, Pedro Romero-Aroca, Sofia de la Riva-Fernandez, Roman Słowiński: Learning ensemble classifiers for diabetic retinopathy assessment, w: Artificial Intelligence in Medicine, 2018, Vol. 85, s. 50-63   
  61. Armando Segatori, Francesco Marcelloni, Witold Pedrycz: On Distributed Fuzzy Decision Trees for Big Data, w: IEEE Transactions on Fuzzy Systems, 2018, Vol. 26 (1), s. 174-192   
  62. Andrzej Skowron, Soma Dutta: Rough Sets: Past, Present, and Future, w: Natural Computing, 2018, Vol. 17 (4), s. 855-876   
  63. Jan Studziński, Bartosz Szeląg, Krzysztof Chmielowski, Ewa Wąsik: Uncertainty of forecast and control of activated sludge sedimentation capacity, w: Polish Journal of Environmental Studies, 2018, s. 1-17   
  64. Yong Su, Hua-Wen Liu, Witold Pedrycz: On the Discrete Bisymmetry, w: IEEE Transactions on Fuzzy Systems, 2018, Vol. 26 (1), s. 374-378   
  65. Bartosz Szeląg, Krzysztof Barbusiński, Jan Studziński: Activated sludge process modelling using selected machine learning techniques, w: Desalination and Water Treatment, 2018, Vol. 117, s. 78-87   
  66. Bartosz Szeląg, Krzysztof Barbusiński, Jan Studziński: Application of the model of sludge volume index forecasting to assess reliability and improvement of wastewater treatment plant operating conditions, w: Desalination and Water Treatment, 2019, Vol. 140, s. 143-154  
  67. Bartosz Szeląg, Adam Kiczko, Jan Studziński, Lidia Dąbek: Hydrodynamic and probabilistic modelling of storm overflow discharges, w: Journal of Hydroinformatics, 2018, Vol. 20 (5), s. 1100-1110   
  68. Bartosz Szeląg, Jan Studziński: Effect of physico – chemical wastewater parameters and abiotic factor on the activated sludge sedimentation capacity, w: Polish Journal of Environmental Studies, 2018, s. 1-11   
  69. Bartosz Szeląg, Jan Studziński, Krzysztof Chmielowski, Aleksandra Leśniańska, Izabela Rojek: Prognozowanie ilości ścieków dopływających do oczyszczalni za pomocą sztucznych sieci neuronowych z wykorzystaniem liniowej analizy dyskryminacyjnej, w: Ochrona Środowiska, 2018, Vol. 40 (4), s. 9-14   
  70. Xiaoan Tang, Shanlin Yang, Witold Pedrycz: Multiple attribute decision-making approach based on dual hesitant fuzzy Frank aggregation operators, w: Applied Soft Computing, 2018, Vol. 68, s. 525-547   
  71. Joerg Verstraete: Solving the general map overlay problem using a fuzzy inference system designed for spatial disaggregation, w: Mitigation and Adaptation Strategies for Global Change, 2018, Vol. 0, s. 1-22
  72. Shuming Wang, Witold Pedrycz: Data-Driven Adaptive Probabilistic Robust Optimization Using Information Granulation, w: IEEE Transactions on Cybernetics, 2018, Vol. 48 (2), s. 450-462  
  73. Ewa Wąsik, Krzysztof Chmielowski, Jan Studziński, Bartosz Szeląg: Zastosowanie sztucznych sieci neuronowych do prognozowania zawartości azotu ogólnego w odpływie z oczyszczalni ścieków, w: Ochrona Środowiska, 2018, Vol. 40 (1), s. 29-33   
  74. J Webster, Irena Lasiecka: Flow Plate Interactions: wellposedness and long time behavior, w: Oberwolfach Seminars, 2018, Vol. vol 48 (3), s. 173-268   
  75. Marcel Xavier, Andre Novotny, Jan Sokołowski: Crack Growth Control Based on the Topological Derivative of the Rice's Integral, w: Journal of Elasticity, 2018, Vol. 0, s. 1-17  
  76. Chengshuo Xia, Daxing Zhang, Witold Pedrycz, Yingmin Zhu, Yongxian Guo: Models for Microbial Fuel Cells: A critical review, w: JOURNAL OF POWER SOURCES, 2018, Vol. 373, s. 119-131  
  77. Zhiming Zhang, Witold Pedrycz: Intuitionistic Multiplicative Group Analytic Hierarchy Process and Its Use in Multicriteria Group Decision-Making, w: IEEE Transactions on Cybernetics, 2018, Vol. 48 (7), s. 1950-1962  
  78. Xuesong Zhang, Yan Zhuang, Wei Wang, Witold Pedrycz: Transfer Boosting With Synthetic Instances for Class Imbalanced Object Recognition, w: IEEE Transactions on Cybernetics, 2018, Vol. 48 (1), s. 357-370   
  79. Xuesong Zhang, Yan Zhuang, Wei Wang, Witold Pedrycz: Online Feature Transformation Learning for CrossDomain Object Category Recognition, w: IEEE Transactions on Neural Networks and Learning Systems, 2018, Vol. 29 (7), s. 2857-2871   
  80. Xiaoyang Zhou, Rui Luo, Yan Tu, Benjamin Lev, Witold Pedrycz: Data envelopment analysis for bi-level systems with multiple followers, w: OMEGA-International Journal of Management Science, 2018, Vol. 77, s. 180-188  
  81. Honglu Zhou, Mingli Song, Witold Pedrycz: A comparative study of improved GA and PSO in solving multiple traveling salesmen problem, w: Applied Soft Computing, 2018, Vol. 64, s. 564-580
  82. Antoni Żochowski, Irena Lasiecka, Katarzyna Szulc: Boundary control of small solutions to fluid structure interactions arising in coupling of elasticity with Navier Stokes equation under mixed boundary conditions, w: NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2018, Vol. 44, s. 54-85  

 

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