Publikacje w roku 2015

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[1] Al-Hmouz R., Pedrycz W., Balamash A.: Description and prediction of time series: A general framework of Granular Computing. EXPERT SYSTEMS WITH APPLICATIONS, vol. 42, No. 10, 2015, ss. 4830-4839, 22 poz. bibl.
[2] Atanassov K., Szmidt E., Kacprzyk J., Atanassova V.: Intuitionistic fuzzy approach to the preference degree estimations. COMPTES RENDUS DE L'ACADEMIE BULGARE DES SCIENCES, vol. 68, No. 1, 2015, ss. 25-32, 9 poz. bibl.
[3] Badica C., Ilie S., Muscar A., Badica A., Sandu L., Sbora R., Ganzha M., Paprzycki M.: Distributed Agent-Based Online Auction System. COMPUTING AND INFORMATICS, vol. 33, No. 3, 2014 [druk w 2015 roku], ss. 518-552.
[4] Balamash A., Pedrycz W., Al-Hmouz R., Morfeq A.: An expansion of fuzzy information granules through successive refinements of their information content and their use to system modeling. EXPERT SYSTEMS WITH APPLICATIONS, vol. 42, 2015, ss. 2985-2997, 46 poz. bibl.
[5] Behbood V., Lu J., Zhang G., Pedrycz W.: Multi-step fuzzy bridged refinement domain adaptation algorithm and its application to bank failure prediction. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 23, No. 6, 2015, ss. 1917-1935, 37 poz. bibl.
[6] Blasco H., Błaszczyński J., Billaut J., Nadal-Desbarats L., Pradat P., Devos D., Moreau C., Andres C., Emond P., Corcia P., Słowiński R.: Comparative analysis of targeted metabolomics: dominance-based rough set approach versus orthogonal partial least square-discriminant analysis. JOURNAL OF BIOMEDICAL INFORMATICS, vol. 53, 2015, ss. 291-299, 33 poz. bibl.
[7] Bołt W., Baetens J., De Baets B.: On the decomposition of stochastic cellular automata. JOURNAL OF COMPUTATIONAL SCIENCE, vol. 11, 2015, ss. 245-257.
[8] Bronselaer A., Szymczak M., Zadrożny S., De Tre G.: Dynamical order construction in data fusion. INFORMATION FUSION, vol. 27, 2016 [druk w 2015 roku], ss. 1-18, 55 poz. bibl.
[9] Cavalcanti M., Cavalcanti A., Lasiecka I., Wang X.: Existence and Sharp Decay Rate Estimates for a von Karman System with Long Memory. NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, vol. 22, 2015, ss. 289-306.
[10] Cena A., Gągolewski M.: OM3: Ordered maxitive, minitive, and modular aggregation operators ? axiomatic and probabilistic properties in an arity-monotonic setting. FUZZY SETS AND SYSTEMS, vol. 264, 2015, ss. 138-159, 51 poz. bibl.
[11] Cena A., Gągolewski M., Mesiar R.: Problems and challenges of information resources producers' clustering. JOURNAL OF INFORMETRICS, vol. 9, No. 2, 2015, ss. 273-284, 17 poz. bibl.
[12] Chalmers E., Pedrycz W., Lou E.: Human Experts? and a Fuzzy Model?s Predictions of Outcomes of Scoliosis Treatment: a Comparative Analysis. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, vol. 62, No. 3, 2015, ss. 1001-1007, 34 poz. bibl.
[13] Chen J., Pedrycz W., Ha M., Ma L.: Set-valued samples based support vector regression and its applications. EXPERT SYSTEMS WITH APPLICATIONS, vol. 42, 2015, ss. 2502-2509, 31 poz. bibl.
[14] Chhetri M., Chichin S., Kowalczyk R.: Smart CloudBench?A framework for evaluating cloud infrastructure performance. INFORMATION SYSTEMS FRONTIERS, 2016 [druk w 2015 roku], ss. 1-16, 15 poz. bibl.
[15] Cichocki A., Cruces S., Amari S.: Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences. ENTROPY, vol. 17, No. 5, 2015, ss. 2988-3034.
[16] Cichocki A., Mandic D., Phan A., Caiafa C., Zhou G., Zhao Q., De Lathauwer L.: Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. IEEE SIGNAL PROCESSING MAGAZINE, 2015, ss. 145-163.
[17] Cinelli M., Coles S., Nadagouda M., Błaszczyński J., Słowiński R., Varma R., Kirwan K.: A green chemistry-based classification model for the synthesis of silver nanoparticles. GREEN CHEMISTRY, vol. 17, 2015, ss. 2825-2839, 122 poz. bibl.
[18] Ciomek K., Słowiński R., Kadziński M.: Modeling assignment-based pairwise comparisons within integrated framework for value-driven multiple criteria sorting. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol. 241, No. 3, 2015, ss. 830-841, 36 poz. bibl.
[19] Czachor H., Charytanowicz M., Gonet S., Niewczas J., Jozefaciuk G., Lichner L.: Impact of long-term mineral and organic fertilizer application on the water stability, wettability and porosity of aggregates obtained from two loamy soils. EUROPEAN JOURNAL OF SOIL SCIENCE, vol. 66, No. 3, 2015, ss. 577-588, 34 poz. bibl.
[20] Dmitruk A. .., Osmolovskii N.: Necessary conditions for a weak minimum in optimal control problems with integral equations on a variable time interval. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS (DCDS-A), vol. 35, No. 9, 2015, ss. 4323-4343.
[21] Dong R., Pedrycz W.: Approximation grid evaluation-based PID control in cascade with nonlinear gain. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, vol. 352, 2015, ss. 4279-4296, 32 poz. bibl.
[22] Filatovas E., Podkopaev D., Kurasova O.: A Visualization Technique for Accessing Solution Pool in Interactive Methods of Multiobjective Optimization. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, vol. 10, No. 4, 2015, ss. 508-519, 36 poz. bibl.
[23] Gallego-Jutgla E., Sole-Casals J., Vialatte F., Elgendi M., Cichocki A., Dauwels J.: A hybrid feature selection approach for the early diagnosis of Alzheimer's disease. JOURNAL OF NEURAL ENGINEERING, vol. 12, No. 1, 2015, ss. 016018-16.
[24] Ganzha M., Georgiev K., Lirkov I., Paprzycki M.: An application of partition method for solving 3D Stokes equation. COMPUTERS & MATHEMATICS WITH APPLICATIONS, vol. 70, No. 11, 2015, ss. 2762-2772.
[25] Gątarek D., Jabłecki J.: A Simple Model of Correlated Defaults with Application to Repo Portfolios. JOURNAL OF DERIVATIVES, vol. 23, No. 2, 2015, ss. 8-24, 15 poz. bibl.
[26] Giacomin P., Hemerly E., Pedrycz W.: A probabilistic approach for designing nonlinear optimal robust tracking controllers for unmanned aerial vehicles. APPLIED SOFT COMPUTING, vol. 34, 2015, ss. 26-38, 53 poz. bibl.
[27] Götschi T., Tainio M., Maizlish N., Schwanen T., Goodman A., Woodcock J. ..: Contrasts in active transport behaviour across four countries: How do they translate into public health benefits? PREVENTIVE MEDICINE, vol. 74, 2015, ss. 42-48, 46 poz. bibl.
[28] Holnicki-Szulc P., Nahorski Z.: Emission Data Uncertainty in Urban Air Quality Modeling ? Case Study. ENVIRONMENTAL MODELING & ASSESSMENT, vol. 20, No. 6, 2015, ss. 583-597, 31 poz. bibl.
[29] Hryniewicz O., Kaczmarek K., Nowak P.: Bayes statistical decisions for random fuzzy data - An application for the Weibull distribution. EKSPLOATACJA I NIEZAWODNOść - MAINTENANCE AND RELIABILITY, vol. 17, No. 4, 2015, ss. 601-610, 29 poz. bibl.
[30] Hu X., Pedrycz W., Wang X.: Comparative analysis of logic operators: A perspective of statistical testing and granular computing. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 66, 2015, ss. 73-90, 28 poz. bibl.
[31] Izakian H., Pedrycz W., Jamal I.: Fuzzy clustering of time series data using dynamic time warping distance. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 39, 2015, ss. 235-244.
[32] Janiak A., Janiak W., Krysiak T., Kwiatkowski T.: A survey on scheduling problems with due windows. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol. 242, 2015, ss. 347-357.
[33] Jezierska A., Chouzenoux E., Pesquet J., Talbot H.: A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood. SIAM JOURNAL ON IMAGING SCIENCES, vol. 8, No. 4, 2015, ss. 2662-2682, 1 poz. bibl.
[34] Jin J., Sellers E., Zhou S., Zhang Y., Wang X., Cichocki A.: A P300 Brain?Computer Interface Based on a Modification of the Mismatch Negativity Paradigm. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, vol. 25, No. 3, 2015, s. 150011.
[35] Jurica P., Valenzi S., Struzik Z., Cichocki A.: Methods for Transition Toward Computer Assisted Cognitive Examination. METHODS OF INFORMATION IN MEDICINE, vol. 54, No. 3, 2015, ss. 256-261, 27 poz. bibl.
[36] Kacprzyk J.: Fuzzy dynamic programming for the modeling of sustainable regional development. APPLIED AND COMPUTATIONAL MATHEMATICS, vol. 14, No. 2, 2015, ss. 107-124, 49 poz. bibl.
[37] Kacprzyk J., Zadrożny S.: Linguistic summarization of the contents of Web server logs via the Ordered Weighted Averaging (OWA) operators. FUZZY SETS AND SYSTEMS, vol. 285, 2016 [druk w 2015 roku], ss. 182-198, 59 poz. bibl.
[38] Kacprzyk J., Zadrożny S., De Tre G.: Fuzziness in database management systems: Half a century of developments and future prospects. FUZZY SETS AND SYSTEMS, vol. 281, 2015, ss. 300-307, 126 poz. bibl.
[39] Kadziński M., Słowiński R.: Multiple criteria ranking and choice with all compatible minimal cover sets of decision rules. KNOWLEDGE-BASED SYSTEMS, vol. 89, 2015, ss. 569-583.
[40] Kadziński M., Słowiński R.: Parametric evaluation of research units with respect to reference profiles. DECISION SUPPORT SYSTEMS, vol. 72, 2015, ss. 33-43, 50 poz. bibl.
[41] Kan X., Zhaoshui H., Cichocki A.: Convergence Analysis of the FOCUSS Algorithm. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 26, No. 3, 2015, ss. 601-613, 43 poz. bibl.
[42] Kantor-Martynuska J., Horabik J.: Granularity of Emotional Responses to Music: The Effect of Musical Expertise. PSYCHOLOGY OF AESTHETICS, CREATIVITY, AND THE ARTS, vol. 9, No. 3, 2015, ss. 235-247, 82 poz. bibl.
[43] Krawczak M., Szkatuła G.: On asymmetric matching between sets. INFORMATION SCIENCES, vol. 312, 2015, ss. 89-103, 17 poz. bibl.
[44] Kulczycki P., Kowalski P.: Bayes Classification for Nonstationary Patterns. INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS , vol. 12, No. 2, 2015, ss. 1-19, 32 poz. bibl.
[45] Li B., Zhou G., Cichocki A.: Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization. IEEE SIGNAL PROCESSING LETTERS, vol. 22, No. 7, 2015, ss. 843-846, 13 poz. bibl.
[46] Li J., Struzik Z., Zhang L., Cichocki A.: Feature learning from incomplete EEG with denoising autoencoder. NEUROCOMPUTING, vol. 165, 2015, ss. 23-31.
[47] Liang D., Pedrycz W., Liu D., Hu P.: Three-way decisions based on decision-theoretic rough sets under linguistic assessment with the aid of group decision making. APPLIED SOFT COMPUTING, vol. 29, 2015, ss. 256-269, 64 poz. bibl.
[48] Liu X., Wang X., Pedrycz W.: Fuzzy clustering with semantic interpretation. APPLIED SOFT COMPUTING, vol. 26, 2015, ss. 21-30, 31 poz. bibl.
[49] Ładyżyński P., Grzegorzewski P.: Vague preferences in recommender systems. EXPERT SYSTEMS WITH APPLICATIONS, vol. 42, 2015, ss. 9402-9411, 29 poz. bibl.
[50] Ma J., Cichocki A., Matsuno F.: A Novel EOG/EEG Hybrid Human?Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, vol. 62, No. 3, 2015, ss. 876-889, 53 poz. bibl.
[51] Mansour K., Kowalczyk R.: Coordinating the bidding strategy in multiissue multiobject negotiation with single and multiple providers. IEEE TRANSACTIONS ON CYBERNETICS, vol. 45, No. 10, 2015, ss. 2261-2272.
[52] Medak B., Tretiakow A.: Existence of periodic solutions to nonlinear p-regular boundary value problem. BOUNDARY VALUE PROBLEMS, 2015, ss. 1-24.
[53] Medak B., Tretiakow A.: P-regular nonlinear dynamics. TOPOLOGICAL METHODS IN NONLINEAR ANALYSIS, vol. 46, No. 1, 2015, ss. 283-301.
[54] Miettinen K., Podkopaev D., Ruiz F., Luque M.: A new preference handling technique for interactive multiobjective optimization without trading-off. JOURNAL OF GLOBAL OPTIMIZATION, vol. 63, No. 4, 2015, ss. 1-19, 31 poz. bibl.
[55] Myśliński A.: Thermoelastic rolling contact problems for multilayer materials. NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, vol. 22, No. 2, 2015, ss. 619-631, 31 poz. bibl.
[56] Nassiri-Mofakham F., Nematbakhsh M., Baraani-Dastjerdi A., Kowalczyk R.: Bidding strategy for agents in multi-attribute combinatorial double auction. EXPERT SYSTEMS WITH APPLICATIONS, vol. 42, 2015, ss. 3268-3295, 98 poz. bibl.
[57] Ngo L., Mai D., Pedrycz W.: Semi-supervising Interval Type-2 Fuzzy C-Means clustering with spatial information for multi-spectral satellite image classification and change detection. COMPUTERS & GEOSCIENCES, vol. 83, 2015, ss. 1-16, 38 poz. bibl.
[58] Nguyen D., Ngo L., Pham L., Pedrycz W.: Towards hybrid clustering approach to data classification: Multiple kernels based interval-valued Fuzzy C-Means algorithms. FUZZY SETS AND SYSTEMS, vol. 279, 2015, ss. 17-39, 47 poz. bibl.
[59] Nowak P., Hryniewicz O.: Generalized versions of MV-algebraic central limit theorems. KYBERNETIKA, vol. 51, No. 5, 2015, ss. 765-783.
[60] Ojalehto V., Podkopaev D., Miettinen K.: Agent assisted interactive algorithm for computationally demanding multiobjective optimization problems. COMPUTERS & CHEMICAL ENGINEERING, vol. 77, 2015, ss. 105-115, 58 poz. bibl.
[61] Pawłow-Niezgódka I.: The Cahn-Hilliard-De Gennes and generalized Penrose-Fife models for polymer phase separation. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS (DCDS-A), vol. 35, No. 6, 2015, ss. 2711-2739, 62 poz. bibl.
[62] Pedrycz W.: From fuzzy data analysis and fuzzy regression to granular fuzzy data analysis. FUZZY SETS AND SYSTEMS, vol. 274, 2015, ss. 12-17, 6 poz. bibl.
[63] Pedrycz W., Al-Hmouz R., Balamash A., Morfeq A.: Designing granular fuzzy models: A hierarchical approach to fuzzy modeling. KNOWLEDGE-BASED SYSTEMS, vol. 76, 2015, ss. 42-52, 20 poz. bibl.
[64] Pedrycz W., Succi G., Sillitti A., Iljazi J.: Data description: A general framework of information granules. KNOWLEDGE-BASED SYSTEMS, vol. 80, 2015, ss. 98-108.
[65] Phan A., Tichavsky P., Cichocki A.: Tensor Deflation for CANDECOMP/PARAFAC- Part I: Alternating Subspace Update Algorithm. IEEE TRANSACTIONS ON SIGNAL PROCESSING, vol. 63, No. 22, 2015, ss. 5924-5938.
[66] Phan A., Tichavsky P., Cichocki A.: Tensor Deflation for CANDECOMP/PARAFAC? Part II: Initialization and Error Analysis. IEEE TRANSACTIONS ON SIGNAL PROCESSING, vol. 63, No. 22, 2015, ss. 5939-5950, 18 poz. bibl.
[67] Prusińska A., Tretiakow A.: Iterative method for solving nonlinear singular problems. CALCOLO, 2015, ss. 1-11.
[68] Prusińska A., Tretiakow A.: P-regularity theory. Tangent cone description in singular case. UKRAINIAN MATHEMATICAL JOURNAL, vol. 67, No. 8, 2015, ss. 1097-1106.
[69] Qin J., Liu X., Pedrycz W.: An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment. KNOWLEDGE-BASED SYSTEMS, vol. 86, 2015, ss. 116-130.
[70] Reyes-Galaviz O., Pedrycz W.: Granular fuzzy modeling with evolving hyperboxes in multi-dimensional space of numerical data. NEUROCOMPUTING, vol. 168, 2015, ss. 240-253, 53 poz. bibl.
[71] Reyes-Galaviz O., Pedrycz W.: Granular fuzzy models: Analysis, design, and evaluation. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 64, 2015, ss. 1-19, 59 poz. bibl.
[72] Sheri A., Rafique A., Pedrycz W., Jeon M.: Contrastive divergence for memristor-based restricted Boltzmann machine. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 37, 2015, ss. 336-342, 24 poz. bibl.
[73] Skowron A., Dutta S.: Generalized quantifiers in the context of rough set semantics. FUNDAMENTA INFORMATICAE, vol. 142, No. 1-4, 2015, ss. 213-236.
[74] Skowron A., Jankowski A.: Interactive computations: toward risk management in interactive intelligent systems. NATURAL COMPUTING, 2015.
[75] Skowron A., Pal S., Maji P.: Preface. Special issue: Pattern Recognition and Mining. NATURAL COMPUTING, 2015, ss. 1-3.
[76] Szupiluk R., Ząbkowski T., Gajowniczek K.: Independent component analysis for ensemble predictors with small number of models. ACTA PHYSICA POLONICA A, vol. 127, No. 3-A, 2015, ss. A-139-A-144, 16 poz. bibl.
[77] Świechowski M., Park H., Mańdziuk J., Kim K.: Recent Advances in General Game Playing. SCIENTIFIC WORLD JOURNAL, vol. 2015, 2015, ss. 1-22.
[78] Tretiakow A., Tyrtyshnikov E. ..: Exact differentiable penalty for a problem of quadratic programming with the use of a gradient-projective method. RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING, vol. 30, No. 2, 2015, ss. 121-128.
[79] Wang D., Hryniewicz O.: A fuzzy nonparametric Shewhart chart based on bootstrap approach. INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, vol. 25, No. 2, 2015, ss. 389-401, 37 poz. bibl.
[80] Wang S., Pedrycz W., Zhu Q., Zhu W.: Subspace learning for unsupervised feature selection via matrix factorization. PATTERN RECOGNITION , vol. 48, No. 1, 2015, ss. 10-19, 44 poz. bibl.
[81] Wang S., Pedrycz W., Zhu Q., Zhu W.: Unsupervised feature selection via maximum projection and minimum redundancy. KNOWLEDGE-BASED SYSTEMS, vol. 75, 2015, ss. 19-29.
[82] Wang X., Liu X., Pedrycz W., Zhang L.: Fuzzy rule based decision trees. PATTERN RECOGNITION , vol. 48, 2015, ss. 50-59, 42 poz. bibl.
[83] Wang X., Pedrycz W., Niu R.: Spatio-temporal analysis of Quaternary deposit landslides in the Three Gorges. NATURAL HAZARDS, vol. 75, 2015, ss. 2793-2813, 36 poz. bibl.
[84] Wierzbicki A., Makowski M., Granat J.: Robustness testing of model based multiple criteria decisions: fundamentals and applications. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, vol. 14, No. 5, 2015, ss. 1035-1062, 33 poz. bibl.
[85] Yokota T., Zdunek R., Cichocki A., Yamashita Y.: Smooth nonnegative matrix and tensor factorizations for robust multi-way data analysis. SIGNAL PROCESSING, vol. 113, 2015, ss. 234-249.
[86] Yoo S., Oh S., Pedrycz W.: Optimized face recognition algorithm using radial basis function neural networks and its practical applications. NEURAL NETWORKS, vol. 69, 2015, ss. 111-125, 36 poz. bibl.
[87] Zhang Y., Zhou G., Jin J., Wang X., Cichocki A.: Optimizing spatial patterns with sparse filter bands for motor-imagery based brain?computer interface. JOURNAL OF NEUROSCIENCE METHODS, vol. 255, 2015, ss. 85-91.
[88] Zhao Q., Zhang L., Cichocki A.: Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 37, No. 9, 2015, ss. 1751-1763, 44 poz. bibl.
[89] Zhou G., Cichocki A., Zhao Q., Xie S.: Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, No. 12, 2015, ss. 4990-5003, 45 poz. bibl.
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