Publikacje w roku 2011 - Instytut Badań Systemowych Polskiej Akademii Nauk
czwartek, 30 marca 2017
imieniny: Amelia, Leonard
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Publikacje w roku 2011

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Artykuły w czasopismach z listy A MNiSW

[1] Ban A., Coroianu L., Grzegorzewski P.: Trapezoidal approximation and aggregation. FUZZY SETS AND SYSTEMS, vol. 177, 2011, ss. 45-59, 32 poz. bibl.


[2] Bandyopadhyay S., Saha S., Pedrycz W.: Use of a fuzzy granulation-degranulation criterion for assessing cluster validity. FUZZY SETS AND SYSTEMS, vol. 170, 2011, ss. 22-42.


[3] Bednarczuk E., Miglierina E., Molho E.: A mountain pass-type theorem for vector-valued functions. SET-VALUED AND VARIATIONAL ANALYSIS, vol. 19, No. 4, 2011, ss. 569-587, 26 poz. bibl.


[4] Bednarczuk E., Prusińska A., Tretiakow A.: High order stability conditions for degenerate optimization problems; elements of ρ-regularity theory. NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, vol. 74, No. 3, 2011, ss. 836-846, 26 poz. bibl.


[5] Błaszczyński J., Słowiński R., Szeląg M.: Sequential covering rule induction algorithm for variable consistency rough set approaches. INFORMATION SCIENCES, vol. 181, 2011, ss. 987-1002.


[6] Brezhneva O., Tretiakow A.: An elementary proof of the Karush-Kuhn-Tucker theorem in normed linear spaces for problems with a finite number of inequality constraints. OPTIMIZATION, vol. 60, No. 5, 2011, ss. 613-618, 14 poz. bibl.


[7] Castillo O., Melin P., Pedrycz W.: Design of interval type-2 fuzzy models through optimal granularity allocation. APPLIED SOFT COMPUTING, vol. 11, No. 8, 2011, ss. 5590-5601.


[8] Chmielewski M., Kaliszewski I.: Multiple Criteria Ranking Decision Support. CONTROL AND CYBERNETICS, vol. 4, 2011, ss. 1-37.


[9] Chudzikiewicz A., Myśliński A.: Thermoelastic Wheel - Rail Contact Problem with Elastic Graded Materials. WEAR, vol. 271, No. 1-2, 2011, ss. 417-425, 34 poz. bibl.


[10] Chueshov I., Lasiecka I.: On Global attractor for 2D Kirchhoff-Boussinesq model with supercritical nonlinearity. COMMUNICATIONS IN PARTIAL DIFFERENTIAL EQUATIONS, vol. 36, No. 1, 2010 [druk w 2011 roku], ss. 67-99.


[11] Cichocki A., Amari S.: Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization. ENTROPY, vol. 13, 2011, ss. 134-170.


[12] Cichocki A., He Z., Xie S., Zdunek R.: Symmetric Nonnegative Matrix Factorization; Algorithms and Applications to Probabilistic Clustering. NEURAL NETWORKS, vol. 22, No. 12, 2011, ss. 2117-2131.


[13] Gągolewski M.: Bibliometric Impact Assessment with R and the CITAN Package. JOURNAL OF INFORMETRICS, vol. 5, No. 4, 2011, ss. 678-692, 47 poz. bibl.


[14] Gągolewski M., Grzegorzewski P.: Possibilistic Analysis of Arity-Monotonic Aggregation Operators and Its Relation to Bibliometric Impact Assessment of Individuals. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 52, No. 9, 2011, ss. 1312-1324, 40 poz. bibl.


[15] Greco S., Kadziński M., Mousseau V., Słowiński R.: ELECTRE GKMS: Robust ordinal regression for outranking methods. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol. 214, No. 10, 2011, ss. 118-135.


[16] Greco S., Kadziński M., Słowiński R.: Selection of a representative value function in robust multiple criteria sorting. COMPUTERS & OPERATIONS RESEARCH, vol. 38, 2011, ss. 1620-1637.


[17] Grzegorzewski P.: On Possible and Necessary Inclusion of IF-Sets. INFORMATION SCIENCES, vol. 181, 2011, ss. 342-350, 28 poz. bibl.


[18] Grzegorzewski P.: The Inclusion-Exclusion Principle for IF-Events. INFORMATION SCIENCES, vol. 181, 2011, ss. 536-546, 19 poz. bibl.


[19] Han S., Park S., Pedrycz W.: Conditional fuzzy clustering for blind channel equalization. APPLIED SOFT COMPUTING, vol. 11, 2011, ss. 2777-2786.


[20] Kaliszewski I., Miroforidis J., Podkopaev D.: Interactive Multiple Criteria Decision Making based on preference driven Evolutionary Multiobjective Optimization with controllable accuracy. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol. 216, No. 1, 2012 [druk w 2011 roku], ss. 188-199, 31 poz. bibl.


[21] Kiwiel K.: An alternating linearization bundle method for convex optimization and nonlinear multicommodity flow problems. MATHEMATICAL PROGRAMMING, vol. 130, No. 1, 2011, ss. 59-84, 40 poz. bibl.


[22] Kopriva I., Hadzija M., Popovic Hadzija M., Karolija M., Cichocki A.: Rational Variety Mapping for Contrast-Enhanced Nonlinear Unsupervised Segmentation of Multispectral Images of Unstained Specimen. AMERICAN JOURNAL OF PATHOLOGY, vol. 179, No. 2, 2011, ss. 547-554, 33 poz. bibl.


[23] Krawczak M., Szkatuła G.: A hybrid approach for dimension reduction in classification. CONTROL AND CYBERNETICS, vol. 40, No. 2, 2011, s. NULL, 16 poz. bibl.


[24] Kulczycki P., Kowalski P.: Bayes classification of imprecise information of interval type. CONTROL AND CYBERNETICS, vol. 40, No. 1, 2011, ss. 101-123, 32 poz. bibl.


[25] Leugering G., Novotny A., Perla Menzala G., Sokołowski J.: On Shape Optimization for an Evolution Coupled System. APPLIED MATHEMATICS AND OPTIMIZATION, vol. 64, No. 3, 2011, ss. 441-466.


[26] Mashinchi M., Orgun M., Mashinchi M., Pedrycz W.: A Tabu-Harmony Search-Based Approach to Fuzzy Linear Regression. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 19, No. 3, 2011, ss. 432-448, 61 poz. bibl.


[27] Mashinchi M., Orgun M., Pedrycz W.: Hybrid optimization with improved tabu search. APPLIED SOFT COMPUTING, vol. 11, No. 2, 2011, ss. 1993-2006, 51 poz. bibl.


[28] Matthe T., De Tre G., Zadrożny S., Kacprzyk J., Bronselaer A.: Bipolar database querying using bipolar satisfaction degrees. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 26, No. 10, 2011, ss. 890-910, 22 poz. bibl.


[29] Nahorski Z., Stańczak J., Radziszewska W., Pałka P.: Wieloagentowa metodyka zarządzania niedoborami i nadmiarami energii w sieciach dystrybucyjnych. RYNEK ENERGII, No. 1(92), 2011, ss. 22-27.


[30] Oh S., Jang H., Pedrycz W.: Optimized fuzzy PD cascade controller: A comparative analysis and design. SIMULATION MODELLING PRACTICE AND THEORY, vol. 19, No. 1, 2011, ss. 181-195.


[31] Oh S., Kim W., Pedrycz W., Park B.: Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization. FUZZY SETS AND SYSTEMS, vol. 163, 2011, ss. 54-77.


[32] Oh S., Pedrycz W., Roh S.: Genetically optimized hybrid fuzzy set-based polynomial neural networks. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, vol. 348, No. 2, 2011, ss. 415-425.


[33] Ozsari T., Kalantarov V., Lasiecka I.: Uniform decay rates for the energy of weakly damped defocusing semilinear Schrodinger equations with inhomogenuous Dirichlet boundary control. JOURNAL OF DIFFERENTIAL EQUATIONS, vol. 251, No. 7, 2011, ss. 1841-1863.


[34] Park H., Chung Y., Oh S., Pedrycz W., Kim H.: Design of information-granule-oriented RBF neural networks and its application to power supply for high-field magnet. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 24, 2011, ss. 543-554.


[35] Pawłow-Niezgódka I., Zajączkowski W.: A sixth order Cahn-Hilliard type equation arising in oil-water-surfactant mixtures. COMMUNICATIONS ON PURE AND APPLIED ANALYSIS, vol. 10, No. 6, 2011, ss. 1823-1847, 18 poz. bibl.


[36] Pedrycz W.: Information granules and their use in schemes of knowledge management. SCIENTIA IRANICA, vol. 18, No. 3, 2011, ss. 602-610.


[37] Pedrycz W., Chen S., Rubin S., Lee G.: Risk evaluation through decision-support architectures in threat assessment and countering terrorism. APPLIED SOFT COMPUTING, vol. 11, 2011, ss. 621-631.


[38] Pedrycz W., Song M.: Analytic Hierarchy Process (AHP) in Group Decision Making and its Optimization with an Allocation of Information Granularity. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 19, No. 3, 2011, ss. 527-539.


[39] Phan A., Cichocki A.: Extended HALS algorithm for nonnegative Tucker decompositon and its applications for multiway analysis and classification. NEUROCOMPUTING, vol. 74, No. 11, 2011, ss. 1956-1969.


[40] Phan A., Cichocki A.: PARAFAC algorithms for large-scale problems. NEUROCOMPUTING, vol. 74, No. 11, 2011, ss. 1970-1984.


[41] Prusińska A., Tretiakow A.: On the Existence of Solutions to Nonlinear Equations Involving Singular Mappings with Non-zero p-Kernel. SET-VALUED AND VARIATIONAL ANALYSIS, vol. 19, No. 3, 2011, ss. 399-416, 19 poz. bibl.


[42] Rai P., Pedrycz W.: Experience-Consistent Fuzzy Rule-Based System Modeling. INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, vol. 4, No. 1, 2011, ss. 1-30.


[43] Roh S., Oh S., Pedrycz W.: Design of fuzzy radial basis function-based polynomial neural networks. FUZZY SETS AND SYSTEMS, vol. 185, No. 1, 2011, ss. 15-37.


[44] Rojas-Rueda D., de Nazelle A., Tainio M., Nieuwenhuijsen M.: The health risks and benefits of cycling in urban environments compared with car use: health impact assessment study. BRITISH MEDICAL JOURNAL, vol. 343, No. d4521, 2011, ss. 1-8.


[45] Stańczak J., Potrzebowski H., Sęp K.: Evolutionary approach to obtain graph covering by densely connected subgraphs. CONTROL AND CYBERNETICS, vol. 41, No. 3, 2011, ss. 849-876, 35 poz. bibl.


[46] Xu Z., Cai X., Szmidt E.: Algorithms for estimating missing elements of incomplete intuitionistic preference relations. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 26, No. 9, 2011, ss. 787-813, 43 poz. bibl.


[47] Zhao J., Wang W., Liu Y., Pedrycz W.: A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, vol. 19, No. 3, 2011, ss. 507-520, 18 poz. bibl.


[48] Zhou J., Pedrycz W., Miao D.: Shadowed sets in the characterization of rough-fuzzy clustering. PATTERN RECOGNITION , vol. 44, 2011, ss. 1738-1749, 23 poz. bibl.


Strona główna
 Z wielką radością informujemy, że nasz znakomity Kolega prof. dr. hab. inż. Janusz Kacprzyk otrzymał tytul doktora honoris causa  w Laapeenranta University of Technology, Laapeenranta, Finlandia. Wsród 14 laureatow są wybitni naukowcy, liderzy biznesu, technologii, mediow, polityki itp. Więcej informacji można znaleźć tutaj i tutaj.   Serdecznie...czytaj dalej »

Z radością przyjęlismy wiadomość, że Profesor Janusz Kacprzyk otrzymał kolejne wyróżnienie: 2016 Individual Award for Outstanding Contributions in the field of Computational Intelligence nadane przez Oddział Indyjski International Neural Network Society (INNS Indian Chapter).   INNS jest prestiżowym światowym towarzystwem naukowym, a jego oddzial w...czytaj dalej »

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