Publikacje w roku 2009

• Wybrane pozycje książkowe
• Wybrane publikacje

Wybrane publikacje

1. Aliev R., Pedrycz W.: Fundamentals of a fuzzy-logic-based generalized theory of stability. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, vol. 39, No. 4, 2009, ss. 971-988.
    
2. Bednarczuk E., Zagrodny D.: Vector variational principle. ARCHIVES OF MECHANICS, vol. 93, 2009, ss. 577-586.
    
3. Caiafa C., Cichocki A.: Estimation of sparse nonnegative sources from noisy overcomplete mixtures using map. NEURAL COMPUTATION, vol. 21, 2009, ss. 1-32.
    
4. Cardone G., Nazarov S. Sokołowski J.: Asymptotics of solutions of the Neumann problem in a domain with closes components of the boundary. ASYMPTOTIC ANALYSIS, col. 62, No. 1-2, 2009, ss. 41-88.
    
5. Choi J., Oh S., Pedrycz W.: Identification of fuzzy relation models using hierarchical fair competition-based parallel genetic algorithms and information granulation. APPLIED MATHEMATICAL MODELLING, vol. 33, 2009, ss. 2791-2807.
    
6. Cichocki A., Phan A.: Fast local algorithms for large scale nonnegative matrix and tensor factorization. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS, COMMUNICATIONS AND COMPUTER SCIENCES, vol. 92-A, No. 3, 2009, ss. 708-721.
    
7. Cimino M., Pedrycz W., Lazzerini B., Marcelloni F.: Using multilayer perceptrons as receptive fields in design of neural networks. NEUROCOMPUTING, vol. 72, 2009, ss. 2536-2548.
    
8. De Tré G., Zadrożny S., Matthe T., Kacprzyk J., Bronselaer A.: Dealing with positive and negative query criteria in fuzzy database querying. LECTURE NOTES IN COMPUTER SCIENCE, No. 5822, 2009, ss. 593-604.
    
9. Gadomski J.: Dynamics of loans in the polish banking system. CONTROL AND CYBERNETICS, vol. 38, No. 3, 2009, ss. 893-911.
    
10. Gągolewski M., Grzegorzewski P.: A geometric approach to the construction of scientific impact indices. SCIENTOMETRICS, vol. 81, No. 3, 2009, ss. 617-634.
     
11. Grabowska G., Wiench M.: Grade analysis of data from the European economic survey 2005 on economic climate in polish servicing sector. CONTROL AND CYBERNETICS, vol. 38, 2009, ss. 783-810.
     
12. Grzegorzewski P.: Kendall's correlation coefficient for vague preferences. SOFT COMPUTING, vol. 13, 2009, ss. 1055-1061.
     
13. Grzegorzewski P.: k-sample median test for vague data. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 24, 2009, ss. 529-539.
     
14. Ha M., Pedrycz W.: Some theoretical results of learning theory based on random sets in set-valued probability space. KYBERNETES, vol. 38, No. 3/4, 2009, ss. 635-657.
     
15. Ha M., Pedrycz W., Zheng L.: The theoretical fundamentals of learning theory based on fuzzy complex random samples. FUZZY SETS AND SYSTEMS, vol. 160, 2009, ss. 2429-2441.
     
16. Ha M., Zhang A., Pedrycz W., Fan Y.: A development of inclusion-degree-based rough fuzzy random sets. FUNDAMENTA INFORMATICAE, vol. 86, 2008, ss. 481-502.
     
17. Ha M., Zhang H., Pedrycz W., Xing H.: The expected value models on Sugeno measure space. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 50, 2009, ss. 1022-1035.
     
18. He Z., Cichocki A., Xie S.: Efficient method for Tucker3 model selection. ELECTRONIC LETTERS, vol. 45, No. 15, 2009, ss. 805-806.
     
19. Kacprzyk J., Zadrożny S.: Towards a general and unified characterization of individual and collective choice functions under fuzzy and non fuzzy preferences and majority via the ordered weighted average operators. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 24, No. 1, 2009, ss. 4-26.
     
20. Kiwiel K., Lemarechal C.: An inexact bundle variant suited to column generation. MATHEMATICAL PROGRAMMING, vol. 118, 2009, ss. 177-206.
     
21. Khludnev A., Novotny A., Sokołowski J., Żochowski A.: Shape and topology sensitivity analysis for cracks in elastic bodies on boundaries of rigid inclusions. JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, vol. 57, No. 10, 2009, ss. 1718-1732.
     
22. Kopriva I., Cichocki A.: Blind decomposition of low-dimensional multi-spectral image by sparse component analysis. JOURNAL OF CHEMOMETRICS, vol. 23, No. 11, 2009, ss. 590-597.
     
23. Krajewski W., Viaro U.: Iterative interpolation algorithms for L2 model reduction. CONTROL AND CYBERNETICS, vol. 38, No. 2, 2009, ss. 543-554.
     
24. Libura M.: On the robustness of optimal solutions for combinatorial optimization problems. CONTROL AND CYBERNETICS, vol. 38, No. 3, 2009, ss. 671-685.
     
25. Lirkov I., Yutov Y., Paprzycki M., Ganzha M.: Comparative analysis of high performance solvers for 3D elasticity problems. LECTURE NOTES IN COMPUTER SCIENCE, vol. 5434, 2009, ss. 392-399.
     
26. Łukasik S., Żak S.: Firefly algorithm for continuous constrained optimization tasks. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 5796, 2009, ss. 97-106.
     
27. Malanowski K.: Second order conditions in optimal control problems with mixed equality-type constraints on a variable time interval. JOURNAL OF GLOBAL OPTIMIZATION, vol. 40, 2009, ss. 161-168.
     
28. Nazarov S., Sokołowski J., Taskinen J.: Neumann Laplacian on a domain with tangential components in the boundary. ANNALES ACADEMIAE SCIENTIARUM FENNICAE MATHEMATICA, vol. 34, No. 1, 2009, ss. 131-143.
     
29. Nowak P., Romaniuk M.: Computing option price for Levy process with fuzzy parameters. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol. 201, No. 1, 2009, ss. 206-210.
     
30. Oh S., Jung S., Pedrycz W.: Design of optimized fuzzy cascade controllers by means of hierarchical fair competition-based genetic algorithms. EXPERT SYSTEMS WITH APPLICATIONS, vol. 36, 2009, ss. 11641-11651.
     
31. Oh S., Pedrycz W., Roh S.: Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation. APPLIED SOFT COMPUTING, 2009, ss. 1068-1089.
     
32. Osmolovskii N.: Second order conditions in optimal problems with mixed equality-type constraints on a variable time interval. CONTROL AND CYBERNETICS, vol. 38, No.4, 2009, ss. 135-1556.
     
33. Paprzycki M., Lee J., Ganzha M., Rhee S., Park M., Szymczak M., Frackowiak G.: Measuring semantic closeness of ontologically demarcated resources. FUNDAMENTA INFORMATICAE, vol. 96, 2009, ss. 395-418.
     
34. Park H., Pedrycz W., Oh S.: Granular neural networks and their development through context-based clustering and adjustable dimensionality of receptive fields. IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 20, No. 10, 2009, ss. 1604-1616.
     
35. Pawłow-Niezgódka I., Zajączkowski W.: Global regular solutions to Cahn-Hilliard system coupled with viscoelasticity. MATHEMATICAL METHODS IN THE APPLIED SCIENCES, vol. 32, 2009, ss. 2197-2242.
     
36. Pedrycz W.: From fuzzy sets to shadowed sets: interpretation and computing. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 24, 2009, ss. 1-14.
     
37. Pedrycz W., Liu X., Chai T., Song M.: The development of fuzzy rough sets with the use of structures and algebras of axiomatic fuzzy sets. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 21, No. 3, 2009, ss. 443-462.
     
38. Pedrycz W., Rai P.: A multifaceted perspective at data analysis: a study in collaborative intelligent agents. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, vol. 39, No. 4, 2009, ss. 834-844.
     
39. Pedrycz W., Rai P.: Experience-consistent modeling: regression and classification problems. AUTOMATICA, vol. 45, 2009, ss. 449-455.
     
40. Pedrycz W., Yang L., Ha M.: On the fundamental convergence in the (C) mean in problems of information fusion. JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, vol. 358, 2009, ss. 203-222.
     
41. Plotnikov P., Ruban E., Sokołowski J.: Inhomogeneous boundary value problems for compressible Navier-Stokes and transport equations. JOURNAL DE MATHEMATIQUES PURES ET APPLIQUEES, vol. 92, No. 2, 2009, ss. 112-162.
     
42. Słowiński R.: Rough set approach to knowledge discovery about preferences. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 5796, 2009, ss. 1-21.
     
43. Słowiński R., Branke J., Greco S., Zielniewicz P.: Interactive evolutionary multiobjective optimization using robust ordinal regression. LECTURE NOTES IN COMPUTER SCIENCE, vol. 5467, 2009, ss. 554-568
     
44. Słowiński R., Dembczyński K.: Learning rule ensembles for ordinal classification with monotonicity constraints. FUNDAMENTA INFORMATICAE, vol. 94, No. 2, 2009, ss. 163-178.
     
45. Słowiński R., Dembczyński K., Greco S.: Rough set approach to multiple criteria classification with imprecise evaluations and assignments. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol. 198, No. 2, 2009, ss. 626-636.
     
46. Słowiński R., Greco S., Figueira J.: Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol. 195, No. 2, 2009, ss. 460-486.
     
47. Słowiński R., Greco S., Mousseau V.: The possible and the necessary for multiple criteria group decision. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 5783, 2009, ss. 203-214.
     
48. Słowiński R., Szczęch I., Greco S.: Analysis of monotonicity properties of some rule interestingness measures. CONTROL AND CYBERNETICS, vol. 38, No. 1, 2009, ss. 9-25.
     
49. Słowiński R., Szeląg M., Greco S., Błaszczyński J.: Monotonic variable consistency rough set approaches. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 50, No. 7, 2009, ss. 979-999.
     
50. Tretiakow A.: Elementary proof of classical necessary optimality conditions for a mathematical programming problem with inequality constraints. DOKLADY MATHEMATICS, vol. 79, No. 2, 2009, ss. 243-245.
     
51. Tretiakow A., Tyrtyshnikov E.: Optimal in-place transposition of rectangular matrics. JOURNAL OF COMPLEXITY, vol. 25, 2009, ss. 377-384.
     
52. Yoshikawa S., Pawłow-Niezgódka I., Zajączkowski W.: A quasilinear thermoviscoelastic system arising in shape memory alloys with temperature dependent specific heat. COMMUNICATIONS ON PURE AND APPLIED ANALYSIS, vol. 8, No. 3, 2009, ss. 1093-1115.
     
53. Zadrożny S., Kacprzyk J.: Issues in the practical use of the OWA operators in fuzzy querying. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, vol. 33, No. 3, 2009, ss. 307-325.
     
54. Zadrożny S., Kacprzyk J.: On an interpretation of keywords weights in information retrieval: Some fuzzy logic based approaches. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, vol. 17, No. Suppl. 1, 2009, ss. 41-58.
     
55. Zadrożny S., Nowacka K.: Fuzzy information retrieval model revisited. FUZZY SETS AND SYSTEMS, vol. 160, No. 15, 2009, ss. 2171-2191.
     
56. Zhaoshui H., Cichocki A., Li Y., Xie S., Sanei S.: K-hyperline clustering learning for sparse component analysis. SIGNAL PROCESSING, vol. 89, No. 6, 2009, ss. 1011-1022.
     
57. Żochowski A., Sokołowski J., Novotny A., Hlavacek I.: On topological derivatives for elastic solids with uncertain input data. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, vol. 141, No. 1, 2009, ss. 569-595.

Wybrane pozycje książkowe

1. Cichocki A., Zdunek R., Paciorkowski Ł., Amari S.: Nonnegative matrix and tensor factorizations; applications to exploratory multi-way data analysis and blind source separation. Wiley J. & Sons, United Kingdom 2009, 533 s. Seria: Computer science.
    
2. De Tré G., Zadrożny S. (Eds.): Fuzzy logic and soft computing in processing of imperfect information. Special issue of CONTROL AND CYBERNETICS, vol. 37, No., 2009, 224 s.
    
3. De Tré G., Zadrożny S. (Eds.): The application of fuzzy logic and soft computing in information management. Special issue of FUZZY SETS AND SYSTEMS. Elsevier Science Publishers, 2009, 155 s.
    
4. Fodor J., Kacprzyk J. (Eds.): Aspects of soft computing, intelligent robotics and control. Springer Verlag, Heidelberg 2009, 270 s. Seria: Studies in Computational Intelligence.
    
5. Hołubiec J. (Red.): Analiza systemowa w finansach i zarządzaniu. Wybrane problemy. T.11. Instytut Badań Systemowych PAN, Warszawa 2009, 248 s.
    
6. Kacprzyk J. (Red.): Innowacyjne rozwiązania w obszarze automatyki, robotyki i pomiarów. PIAP, Warszawa 2009, 301 s. Seria: Monografie – studia - rozprawy.
    
7. Korytowski A., Malanowski K., Mitkowski W., Szymkat M. (Eds.): System modeling and optimization. Springer Verlag, Berlin 2009, 507 s. Seria: IFIP advances in information and com. technology.
    
8. Mitkowski W., Kacprzyk J. (Eds.): Modelling dynamics in processes and systems. Springer Verlag, Heidelberg 2009, 192 s. Seria: Studies in Computational Intelligence.
    
9. Nedjah N., Mourelle L., Kacprzyk J. (Eds.): Innovative applications in data mining. Springer Verlag, Heidelberg 2009, 124 s. Seria: Studies in Computational Intelligence.
    
10. Nedjah N., Mourelle L., Kacprzyk J., Franca F., De Souza A. (Eds.): Intelligent text categorization and clustering. Springer Verlag, Berlin - Heidelberg 2009, 119 s. Seria: Studies in Computational Intelligence.
     
11. Paprzycki M., Ganzha M. (Eds.): Advances in agent-based computing. Special issue of INTERNATIONAL JOURNAL OF INTELLIGENT INFORMATOION AND DATABASE SYSTEMS, UK 2009, 78 s.
     
12. Paprzycki M., Ganzha M. (Eds.): Proceedings of the conference: “2009 International Multiconference on Computer Science and Information Technology”. IEEE Computer Society CPS (Computer Publishing Services), Los Alamitos, CA 2009, 784 s.
     
13. Piasecki S.: Podstawy logistyki. Tom I. Zapasy (skrypt). Warszawska Wyższa Szkoła Informatyki, Warszawa 2009, 160 s.
     
14. Piasecki S.: Podstawy logistyki. Tom II. Transport (skrypt). Warszawska Wyższa Szkoła Informatyki, Warszawa 2009, 165 s.
     
15. Piasecki S.: Podstawy logistyki. Tom III. Sieci logistyczne (skrypt). Warszawska Wyższa Szkoła Informatyki, 2009, 165 s.
     
16. Romaniuk M.: Wprowadzenie do matematyki finansowej. KUL, Lublin 2009, 94 s.