Publikacje w roku 2006

• Wybrane pozycje książkowe
• Wybrane publikacje

Wybrane publikacje

[1]    Banek T., Kozłowski E.: Adaptive control of system entropy. CONTROL AND CYBERNETICS, vol. 35, No.2, 2006,     ss. 279-289.

[2]    Błaszczyński J., Dembczyński K., Słowiński R.: Interactive analysis of preference-ordered data using dominance-based rough set approach. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4029, 2006, ss.489-498.

[3]    Błaszczyński J., Dembczyński K., Słowiński R., Szeląg M.: Ensembles of decision rules for solving binary classification     problems in the presence of missing values. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4259, 2006, ss.224-234.

[4]    Błaszczyński J., Greco S., Słowiński R., Szeląg M.: On variable consistency dominance-based rough set approaches. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4259, 2006, ss.191-202.

[5]    Dembczyński K., Greco S., Kotłowski W., Słowiński R.: Quality of rough approximation in multi-criteria classification problems. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4259, 2006, ss.318-327.

[6]    Dembczyński K., Kotłowski W., Słowiński R.: Additive preference model with piecewise linear components resulting from dominance-based rough set approximations. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4029, 2006, ss.499-508.

[7]    Greco S., Matarazzo B., Słowiński R.: Dominance-based rough set approach to case-based reasoning. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 3885, 2006, ss.7-18.

[8]    Greco S., Matarazzo B., Słowiński R.: Dominance-based rough set approach to decision involving multiple decision makers. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4259, 2006, ss. 306-317.

[9]    Greco S., Matarazzo B., Słowiński R.: Rough set approach customer satisfaction analysis. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4259, 2006, ss.284-295.

[10]    Grzegorzewski P.: The coefficient of concordance for vague data. COMPUTATIONAL STATISTICS & DATA ANALYSIS, vol. 51, 2006, ss.314-322.

[11]    Holnicki P.: On the real-time emission control case study application. CONTROL AND CYBERNETICS, vol. 35, No. 2, 2006, ss. 351-367.

[12]    Holmberg K., Kiwiel K.: Mean value cross decomposition under nonsymmetric loss function. OPTIMIZATION METHOD & SOFTWARE, vol. 21, No. 1, 2006, ss. 401-417

[13]    Hryniewicz O.: Goodman-Kruskal /gamma measure of dependence for fuzzy ordered categorical data. COMPUTATIONAL STATISTICS & DATA ANALYSIS, vol. 51, 2006, ss.323-334.

[14]    Hryniewicz O.: Merging fuzzy statistical data with imprecise prior information. JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING, vol. 15, No. 1, 2006, ss.70-82.

[15]    Hryniewicz O.: Possibilistic decisions and fuzzy statistical tests. FUZZY SETS AND SYSTEMS, vol. 157, 2006, ss.2665-2673.

[16]    Józefczyk J.: Hybrid solution algorithms for task scheduling problem with moving executors. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 19, 2006, ss.135-143.

[17]    Kacprzyk J., Nowacka K., Zadrożny S.: A possibilistic-logic-based information retrieval model with various     term-weighting approaches. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4029, 2006, ss.1120-1129.

[18]    Kacprzyk J., Wilbik A., Zadrożny S.: A linguistic approach to a human-consistent summarization of time     series     using a SOM learned with a LVQ-type algorithm. LECTURE NOTES IN COMPUTER SCIENCE,     vol. 4132, 2006, ss.171-180.

[19]    Kiwiel K.: A proximal bundle method with approximate subgeradient linearizations. SIAM JOURNAL ON OPTIMIZATION, vol. 16, 2006, ss.1007-1023

[20]    Klukowski L.: Tests for relation type - equivalence or tolerance - in a finite set of elements. CONTROL AND CYBERNETICS, vol. 35, No.2, 2006, ss.369-384.


[21]    Kulczycki P., Mazgaj A.: An algorithm for bayes parameter identification with quadratic nonsymmetrical loss function. CONTROL AND CYBERNETICS, vol. 34, No.4, 2005 [druk 2006], ss.1127-1148.

[22]    Kulczycki P., Waglowski J.: On the application of statistical kernel estimators for the demand-based design of a wireless data transmission system. CONTROL AND CYBERNETICS, vol. 34, No.4, 2005 [druk 2006 ], ss.1149-1167.

[23]    Libura M., Nikulin Y.: Stability and accuracy functions in multicriteria linear combinatorial optimization problems. ANNALS OF OPERATIONS RESEARCH, vol. 147, 2006, ss.255-267.

[24]    Nazarov S., Sokołowski J.: Self –adjoint extensions for the Neumann Laplacian and applications. ACTA MATHEMATICA SIN. (ENGL.SER.), vol.22, No.3, 2006, ss.879-906.

[25]    Niewiadomski A., Ochelska J., Szczepaniak P.: Interval-valued linguistic summaries of databases. CONTROL AND CYBERNETICS, vol. 35, No. 2, 2006, ss.415-443.

[26]    Oh S., Pedrycz W.: Genetic optimization-driven multi-layer hybrid fuzzy neural networks. SIMULATION     MODELLING     PRACTICE AND THEORY, vol. 14, No. 14, 2006, ss. 597-613.

[27]    Oh S., Pedrycz W.: Genetically optimized fuzzy polynomial neural networks. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 14, No. 1, 2006, ss.125-144.

[28]    Oh S., Pedrycz W.: Multi-layer self-organizing polynomial neural networks and their development with use of genetic algorithms. JOURNAL OF THE FRANKLIN INSTITUTE, vol. 343, No. 343, 2006, ss.125-136.

[29]    Oh S., Pedrycz W., Park B.: Multilayer hybrid fuzzy neural networks: synthesis via technologies of advanced computational intelligence. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I, vol. 53, No. 3, 2006, ss.688-703.

[30]    Pawłow-Niezgódka I.: Thermodynamically consistent Cahn-Hilliard and Allen-Cahn models in elastic solids. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS, vol. 15, No.4, 2006, ss.1169-1191.

[31]    Pawłow-Niezgódka I., Zajączkowski W.: Classical solvability of 1-D Cahn-Hilliard equation coupled with elasticity. MATHEMATICAL METHODS IN APPLIED SCIENCES, vol. 29, 2006, ss.853-876.

[32]    Pedrycz W.: Uninorm-based logic neurons as adaptive and interretable processing constructs. SOFT COMPUTING, vol. 11, No.1, 2007 [druk 2006], ss.41-52.

[33]    Pedrycz W., Bouchachia A.: Enhancement o fuzzy clustering by mechanisms of partial supervision. FUZZY SETS AND SYSTEMS, vol. 157, No.157, 2006, ss.1733-1759.

[34]    Pedrycz W., Ciaramella A., Tagliaferri R.: OR/and neurons for fuzzy set connectives using ordinal sums and genetic algorithms. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 3849, No. 3849, 2006, ss.188-194.

[35]    Pedrycz W., Kwak K.: Linguistic models as a framework of user-centric system modeling. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS - PART A: SYSTEMS AND HUMANS, vol. 36, No.4, 2006, ss.727-745.

[36]    Pedrycz W., Reformat M., Li K.: OR/and neurons and the development of interpretable logic models. IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 17, No. 3, 2006, ss.636-658.

[37]    Plotnikov P., Sokołowski J.: Domain dependence of solutions to compressible Navier-Stokes equations. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, vol. 45, No. 4, 2006, ss.1165-1197.

[38]    Radzikowska A.: Rough approximation operations based on IF sets. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4029, 2006, ss.528-537.

[39]    Romaniuk M.: Continuous time assumption in insurance premium calculation and bonus-malus system. JOURNAL OF APPLIED COMPUTER SCIENCE, vol. 13, No. 2, 2005 [druk 2006], ss.107-118.

[40]    Roy B., Słowiński R.: Multi-    criteria assignment problem with incompatibility and capacity constraints. ANNALS OF OPERATIONS RESEARCH, vol. 147, 2006, ss.287-316.

[41]    Słowiński R., Brzezińska I., Greco S.: Application of Bayesian confirmation measures for mining rules from support-confidence Pareto-optimal set. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4029, 2006, ss.1018-1026. 

[42]    Zadrożny S., Kacprzyk J.: On Tuning OWA Operators in a Flexible Querying Interface. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4027, 2006, ss.97-108.

Wybrane pozycje książkowe

[1]    Bednarczuk E.: Stability analysis for parametric vector optimization problems. Dissertationes Mathematicae, Warszawa 2006, 125 s.

[2]    Gątarek D., Bachert P., Maksymiuk R.: The  LIBOR  market  model  in  practice. J.Wiley & Sons, England 2006, 270 s. Seria: Finance.

[3]    Grzegorzewski P.: Wspomaganie decyzji w warunkach niepewności. Metody statystyczne dla nieprecyzyjnych danych. Akademicka Oficyna Wydawnicza EXIT, Warszawa 2006, 323 s. Seria: Badania Systemowe, t.43.


[4]    Holnicki-Szulc P.: Modele propagacji zanieczyszczeń atmosferycznych w zastosowaniu do kontroli i sterowania jakością środowiska. Akademicka Oficyna Wydawnicza EXIT, Warszawa 2006, 211 s. Seria: Badania Systemowe, t. 46.

[5]    Hołubiec J., Mercik J.: Techniki i tajniki głosowania. Akademicka Oficyna Wydawnicza EXIT, Warszawa 2006, 139 s.

[6]    Horak J., Kacprzyk J., Morris A., Owsiński J., Zadrożny S. (Eds.): Novel approaches and soft methodologies in Geographic Information Systems: a decision support perspective. Special issue of CONTROL AND CYBERNETICS, Vol.
35, No.1. 2006, 194 s.

[7]    Krajewski W.: Wybrane metody wyznaczania optymalnych modeli uproszczonych. Akademicka Oficyna Wydawnicza EXIT, Warszawa 2006, 194 s. Seria: Badania Systemowe, t. 47.

[8]    Last M., Szczepaniak P., Volkovich Z., Kandel A. (Eds.): Advances in web intelligence and data mining. Springer Verlag, Berlin 2006, 339 s.

[9]    Lawry J., Miranda E., Bugarin A., Li S., Gil M., Grzegorzewski P., Hryniewicz O. (Eds.): Soft methods for integrated uncertainty modelling. Springer Verlag, Berlin 2006, 414 s. Seria: Advances in Soft Computing.

[10]    Myśliński A.: Shape optimization of nonlinear distributed parameter systems. Akademicka Oficyna Wydawnicza EXIT, Warszawa 2006, 269 s. Seria: Badania Systemowe, t. 51.

[11]    Sokołowski J., Lewiński T. (Eds.): Shape optimization. Special issue of CONTROL AND CYBERNETICS, vol. 34, No. 1. 2005, 377 s.

[12]    Zadrożny S.: Zapytania nieprecyzyjne i lingwistyczne podsumowania baz danych. Akademicka Oficyna Wydawnicza EXIT, Warszawa 2006, 247 s. Seria: Badania Systemowe, t. 44.