Publikacje w roku 2010 - Instytut Badań Systemowych Polskiej Akademii Nauk
sobota, 18 listopada 2017
imieniny: Roman, Tomasz
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Publikacje w roku 2010

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Wybrane publikacje

  1. Angryk R., Czerniak J.: Heuristic algorithm for interpretation of multi-valued attributes in smilarity-based fuzzy relational databases. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 51 No. 8, 2010, ss. 895-911.
     
  2. Bonnans J., Osmolovskii N.: Second-order analysis of optimal control problems with control and initial-final state constraints. JOURNAL OF CONVEX ANALYSIS, vol. 17, No. 3&4, 2010, ss. 885-913.
     
  3. Cichocki A., Caiafa C.: Generalizing the column-row matrix decomposition to multi-way arrays. LINEAR ALGEBRA AND ITS APPLICATIONS, vol. 433, 2010, ss. 557-573.
     
  4. Cichocki A., Choi K., He Z., Xie S.: Detecting the number of clusters in n-way probabilistic clustering. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (PAMI), vol. 32, No. 11, 2010, ss. 2006-2021.
     
  5. Cichocki A., Dauwels J., Maurice M., Vialatte F.: Steady-state visually evoked potentials: focus on essential paradigms and future perspectives. PROGRESS IN NEUROBIOLOGY, vol. 90, 2010, ss. 418-438.
     
  6. De Tré G., Zadrożny S., Bronselaer A.: Handling bipolarity in elementary queries to possibilistic databases. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 18, No. 3, 2010, ss. 599-612.
     
  7. Filatova D., Grzywaczewski M., Osmolovskii N.: Optimal control problem with integral equation as control object. NONLINEAR ANALYSIS REAL WORLD APPLICATIONS, vol. 72, 2010, ss. 1235-1246.
     
  8. Gadomski J.: Dynamics of Loans in the Polish Banking System. CONTROL AND CYBERNETICS, vol. 38, No. 3, 2010, ss. 893-911.
     
  9. Gromisz M., Zadrożny S.: Combining the results in pairwise classification using Dempster-Shafer theory: a comparison of two approaches. LECTURE NOTES IN COMPUTER SCIENCE, vol. 6113, 2010, ss. 339-346.
     
  10. Horabik J., Nahorski Z.: A statistical model for spatial inventory data: a case study of N2O emissions in municipalities of southern Norway. CLIMATIC CHANGE, vol. 103 No. 1-2, 2010, ss. 263-276.
     
  11. Jarnicka J.: Particle size distribution in natural water via density estimation. ENVIRONMETRICS, vol. 21 No. 7-8, 2010, ss. 755-766.
     
  12. Jaworska T., Marin N., Kacprzyk J., Zadrożny S.: On dealing with imprecise information in a content based image retrieval system. LECTURE NOTES IN COMPUTER SCIENCE, vol. 6178, 2010, ss. 149-158.
     
  13. Jonas M., Gusti M., Jęda W., Nahorski Z., Nilsson S.: Comparison of preparatory signal analysis techniques for consideration in the (post-)Kyoto policy process. CLIMATIC CHANGE, vol. 193, No. 1-2, 2010, ss. 175-213.
     
  14. Jonas M., Marland G., Winiwarter W., White T., Nahorski Z., Bun R., Nilsson L.: Benefits of dealing with uncertainty in greenhouse gas inventories. CLIMATIC CHANGE, vol. 103, No. 1-2, 2010, ss.3-18.
     
  15. Kacprzyk J., Wilbik A., Zadrożny S.: An approach to the linguistic summarization of time series using a fuzzy quantifier driven aggregation. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 25, No. 5, 2010, ss. 411-439.
     
  16. Kacprzyk J., Zadrożny S.: Computing with words is an implementable paradigm: fuzzy queries, linguistic data summaries and natural language generation. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 18, No. 3, 2010, ss. 461-472.
     
  17. Kacprzyk J., Zadrożny S.: Modern data-driven decision support systems: the role of computing with words and computational linguistics. INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, vol. 39, No. 4, 2010, ss. 379-393.
     
  18. Kacprzyk J., Zadrożny S.: Soft computing and Web intelligence for supporting consensus reaching. SOFT COMPUTING, vol. 14, No. 8, 2010, ss. 833-846.
     
  19. Kacprzyk J., Zadrożny S., Raś Z.: How to support consensus reaching using action rules: a novel approach. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, vol. 18, No. 4, 2010, ss. 451-470.
     
  20. Kiwiel K.: A nonderivative version of the gradient sampling algorithm for nonsmooth nonconvex optimization. SIAM JOURNAL ON OPTIMIZATION, vol. 20, 2010, ss. 1983-1994.
     
  21. Kiwiel K.: An inexact bundle approach to cutting-stock problems. INFORMS JOURNAL ON COMPUTING, vol. 22, 2010, ss. 131-143.
     
  22. Kiwiel K.: Improved convergence result for the discrete gradient and secant methods for nonsmooth optimization. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, vol. 144, 2010, ss. 69-75.
     
  23. Kowalski P., Kulczycki P.: Data reduction for classification of interval information using neural network sensitivity analysis. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 6304, 2010, ss. 271-272.
     
  24. Krajewski W., Miani S., Morassutti A., Viaro U.: Switching policies for mold level control in continuous casting plants. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, vol. 18, No. 6, 2010, ss. 1-11.
     
  25. Libura M.: A note on robustness tolerances for combinatorial optimization problems. INFORMATION PROCESSING LETTERS, vol. 110, No.16, 2010, ss. 725-729.
     
  26. Malinowski J.: A new efficient algorithm for generating all minimal tie-sets connecting selected nodes in a mesh-structured network. IEEE TRANSACTIONS ON RELIABILITY, vol. 59, No. 1, 2010, ss. 203-211.
     
  27. Nahorski Z., Horabik J.: Compliance and emission trading rules for asymmetric emission uncertainty estimates. CLIMATIC CHANGE, vol. 103, No. 1-2, 2010, ss. 303-325.
     
  28. Pedrycz W.: The design of cognitive maps: a study in synergy of granular computing and evolutionary optimization. EXPERT SYSTEMS WITH APPLICATIONS, vol. 37, 2010, ss. 7288-7294.
     
  29. Park B., Pedrycz W., Oh S.: A design of genetically oriented fuzzy relation neural networks (FrNNs) based on the fuzzy polynomial inference scheme. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 17, No. 6, 2010, ss. 1310-1323.
     
  30. Pedrycz W., Lee M.: Adaptive learning of ordinal-numerical mappings through fuzzy clustering for the objects of mixed features. FUZZY SETS AND SYSTEMS, vol. 161, 2010, ss. 564-577.
     
  31. Pedrycz W., Loia V., Senatore S.: Fuzzy clustering with viewpoints. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 18, No. 2, 2010, ss. 274-284.
     
  32. Roh S., Oh S., Pedrycz W.: A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clustering. KNOWLEDGE BASED SYSTEMS, vol. 23, 2010, ss. 202-219.
     
  33. Roh S., Pedrycz W., Oh S., Joo S.: The development of fuzzy radial basis function neural networks based on the concept of information ambiguity. NEURO-COMPUTING, vol. 73, 2010, ss. 2464-2477.
     
  34. Słowiński R., Błaszczyński J., Stefanowski J.: Ordinal classification with monotonicity constraints by variable consistency bagging. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 6086, 2010, ss. 392-401.
     
  35. Słowiński R., Błaszczyński J., Stefanowski J.: Variable consistency bagging ensembles. LECTURE NOTES IN COMPUTER SCIENCE, vol. 5946, 2010, ss. 40-52.
     
  36. Słowiński R., Błaszczyński J., Szeląg M.: Probabilistic rough set approaches to ordinal classification with monotonicity constraints. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 6178, 2010, ss. 99-108.
     
  37. Słowiński R., Dembczyński K., Kotłowski W.: Ender - a statistical framework for boosting decision rules. Data mining and knowledge discovery. DATA MINING AND KNOWLEDGE DISCOVERY, vol. 21, No. 1, 2010, ss. 51-90.
     
  38. Słowiński R., Greco S., Matarazzo B.: Dominance-based rough set approach to preference learning from pairwise comparisons in case of decision under uncertainty. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 6178, 2010, ss. 584-594.
     
  39. Słowiński R., Greco S., Matarazzo B.: Dominance-based rough set approach to decision under uncertainty and time preference. ANNALS OF OPERATIONS RESEARCH, vol. 176, 2010, ss. 41-75.
     
  40. Słowiński R., Greco S., Mousseau V.: Multiple criteria sorting with a set of additive value functions. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol. 207, No. 3, 2010, ss. 1455-1470.
     
  41. Słowiński R., Greco S., Szczęch I.: Alternative normalization schemas for Bayesian confirmation measures. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 6178, 2010, ss. 230-239.
     
  42. Sokołowski J., Cardone G., Nazarov S.: Asymptotic analysis, polarization matrices and topological derivatives for piezoelectric materials with small voids. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, vol. 48, No. 6, 2010, ss. 3925-3961.
     
  43. Sokołowski J., Casas E.: Approximation of boundary control problems on curved domains. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, vol. 48, No. 6, 2010, ss. 3746-3780.
     
  44. Sokołowski J., Consiglieri L., Necasova S.: New approach to the incompressible Maxwell-Boussinesq approximation: Existence, uniqueness and shape sensitivity. JOURNAL OF DIFFERENTIAL EQUATIONS, vol. 249, 2010, ss. 3052-3080.
     
  45. Sokołowski J., Kowalewski A., Lasiecka I.: Sensitivity analysis of hyperbolic optimal control problems. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, vol. 1, 2010, ss. 1-35.
     
  46. Sokołowski J., Plotnikov P.: Shape derivative of drag functional. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, vol. 48, No. 7, 2010, ss. 4680-4706.
     
  47. Stańczak J., Bartoszczuk P.: CO2 emission trading model with trading prices. CLIMATIC CHANGE, vol. 103, No. 1-2, 2010, ss. 291-301.
     
  48. Szmidt E., Kacprzyk J.: Correlation of intuitionistic fuzzy sets. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 6178, 2010, ss. 169-177.
     
  49. Szmidt E., Kacprzyk J.: Dealing with typical values via Atanassov's intuitionistic fuzzy sets. INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, vol. 39, No. 5, 2010, ss. 489-596.
     
  50. Szmidt E., Kacprzyk J.: On an enhanced method for a more meaningful ranking of intuitionistic fuzzy alternatives. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 6113, 2010, ss. 232-239.
     
  51. Tainio M., Tuomisto J., Pekkanen J., Karvosenoja N., Kupiainen K., Porvari P., Sofiev M., Karppinen A., Kangas L., Kukkonen J.: Uncertainty in health risks due to anthropogenic primary fine particulate matter from different source types in Finland. ATMOSPHERIC ENVIRONMENT, vol. 44, No. 17, 2010, ss. 2125-2132.
     
  52. Tretiakow A.: A finite-termination gradient projection method for solving systems of linear inequalities. RUSSIAN JOURNAL NUMERICAL ANALYSIS MATHEMATICAL MODELLING, vol. 25, No. 2, 2010, ss. 1-10.
     
  53. Tretiakow A.: On solution existence for the perturbed degenerate optimization problem with equality constraints: p-order stability condition. DOKLADY MATHEMATICS, vol. 81, No. 3, 2010, ss. 1-4.
     
  54. Tretiakow A.: P-th order Kuhn-Tucker-type optimality conditions for a singular inequality constrained optimization problem. DOKLADY MATHEMATICS, vol. 82, No. 2, 2010, ss. 1-4.
     
  55. Tretiakow A., Brezhneva O.: An elementary proof of the Karush-Kuhn-Tucker theorem in normed linear spaces for problems with a finite number of inequality constraints. OPTIMIZATION, 2010, ss. 1-6.
     
  56. Tretiakow A., Brezhneva O.: Come back to Lagrange. The p-factor analysis of optimality conditions. NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION, vol. 31, No. 8, 2010, ss. 871-891.
     
  57. Tretiakow A., Brezhneva O.: Corrigendum: optimality conditions for degenerate extremum problems with equality constraints. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, vol. 48, No. 5, 2010, ss. 3670-3673.
     
  58. Verstraete J.: A quantitative approach to topology for fuzzy regions. LECTURE NOTES IN COMPUTER SCIENCE, vol. 6113, No. 1, 2010, ss. 248-255.
     
  59. Wang S., Watada J., Pedrycz W.: Recourse-based facility-location problems in hybrid uncertain environment. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, vol. 40, No. 4, 2010, ss. 1176-1187.
     
  60. Zagrodny D., Bednarczuk E.: A smooth vector variational principle. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, vol. 48, No. 6, 2010, ss. 3735-3745.

 

Wybrane pozycje książkowe

  1. Borgelt C., Gonzalez-Rodriguez G., Trutschnig W., Lubiano M., Gil M., Grzegorzewski P., Hryniewicz O. (Eds.): Combining soft computing and statistical methods in data analysis. Springer Verlag, Berlin 2010, 644 s. Seria: Advances in Intelligent and Soft Computing.
     
  2. Castillo O., Pedrycz W., Kacprzyk J. (Eds.): Evolutionary design of intelligent systems in modeling, simulation and control. Springer Verlag, Heidelberg and New York 2010, 334 s., Seria: Studies in Computational Intelligence.
     
  3. Gadomski J., Owsiński J.: Model rolnictwa polskiego MODROL do analizy skutków polityki rolnej dla dochodowości gospodarstw rolnych. Koncepcja całości oraz modele wybranych rynków. Instytut Ekonomiki Rolnictwa i Gospodarki Żywnościowej. Państwowy Instytut Badawczy, Warszawa 2010, 108 s.
     
  4. Greco S., Marques Pereira R., Squillante M., Yager R., Kacprzyk J. (Eds.): Preferences and decisions. Models and applications. Springer Verlag, Heidelberg and New York 2010, 430 s., Seria: Studies in Fuzziness and Soft Computing.
     
  5. Kacprzyk J., Petry. F., Yazici A. (Eds.): Uncertainty approaches for spatial data modeling and processing. Springer Verlag, Heidelberg and New York 2010, 225 s., Seria: Studies in Computational Intelligence.
     
  6. Koronacki J., Raś Z., Wierzchoń S., Kacprzyk J. (Eds.): Advances in machine learning I. Springer Verlag, Heidelberg and New York 2010, 524 s. Seria: Studies in Computational Intelligence.
     
  7. Koronacki J., Raś Z., Wierzchoń S., Kacprzyk J. (Eds.): Advances in machine learning II. Springer Verlag, Heidelberg and New York 2010, 532 s., Seria: Studies in Computational Intelligence.
     
  8. Lodwick W., Kacprzyk J. (Eds.): Fuzzy optimization. Recent advances and applications. Springer Verlag, Heidelberg and New York 2010, 533 s., Seria: Studies in Fuzziness and Soft Computing.
     
  9. Melin P., Kacprzyk J., Pedrycz W. (Eds.): Bio-inspired hybrid intelligent systems for image analysis and pattern recognition. Springer Verlag, Heidelberg and New York 2010, 264 s., Seria: Studies in Computational Intelligence.            

  10. Rudas I., Fodor J., Kacprzyk J. (Eds.): Computational intelligence and informatics: Principles and practice. Springer Verlag, Heidelberg and New York 2010, 368 s., Seria: Studies in Computational Intelligence.
     
  11. Sgurev V., Hadjisky M., Kacprzyk J. (Eds.): Intelligent systems: from theory to practice. Springer Verlag, Heidelberg and New York 2010, 550 s., Seria: Studies in Computational Intelligence.
     
  12. Snasel V., Szczepaniak P., Abraham A., Kacprzyk J. (Eds.): Advances in intelligent web mastering - 2. Springer Verlag, Heidelberg and New York 2010, 246 s., Seria: Advances in Intelligent and Soft Computing.


 

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