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[1] Badica C., Ganzha M., Paprzycki M.: Implementing rule-based automated price negotiation in an agent system. JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2007, 13, ss. 244-266.
[2] Bartoszczuk P., Horabik J.: Tradable permit systems: considering uncertainty in emission estimates. WATER AIR AND SOIL POLLUTION: FOCUS, 2007, 7, ss.573-579.
[3] Bednarczuk E.: On weak sharp minima in vector optimization with applications to parametric problems. CONTROL AND CYBERNETICS, 2007, 36, ss.563-570.
[4] Bednarczuk E.: Strong pseudomonotonicity, sharp efficiency and stability for parametric vector equilibria. ESAIM PROCEEDINGS, 2007, 17, ss.9-18.
[5] Bednarczuk E.: The vector-valued variational principle in Banach spaces ordered by cones with nonempty interiors. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2007, 18, ss.907-913.
[6] Błaszczyński J., Greco S., Słowiński R.: Multi-criteria classification – a new scheme for application of dominance-based decision rules. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 181, ss.1030-1044.
[7] Błaszczyński J., Greco S., Słowiński R., Szeląg M.: Monotonic variable consistency rough set approaches. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4481, ss.126-133.
[8] Bortolon G., Pedrycz W.: Hyperbox classifiers for arrhythmia classification. KYBERNETES, 2007, 36, ss.531-547.
[9] Breżnieva A., Tret’yakov A.: The p-factor-lagrange methods for degenerate nonlinear programming. NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION, 2007, 28, ss.1051-1086.
[10] Brzezińska I., Greco S., Słowiński R.: Mining Pareto-optimal rules with respect to support and confirmation or support and anti-support. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2007, 20, ss.587-600.
[11] Cichocki A., Zdunek R.: Multilayer nonnegative matrix factorization using projected gradient approaches. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2007, 17, ss. 431-446.
[12] Cichocki A., Zdunek R., Amari S.: Hierarchical ALS algorithms for nonnegative matrix and 3D tensor factorization. LECTURE NOTES IN COMPUTER SCIENCE, 2007, 4666, ss. 169-176.
[13] Dembczyński K., Greco S., Kotłowski W., Słowiński R.: Optimized generalized decision in dominance-based rough set approach. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4481, ss.118-125.
[14] Dembczyński K., Greco S., Kotłowski W., Słowiński R.: Relationship between loss functions and confirmation measures. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4482, ss.338-345.
[15] Dembczyński K., Greco S., Kotłowski W., Słowiński R.: Statistical model for rough set approach to multicriteria classification. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4702, ss.164-175.
[16] Gaweda A., Muezzinoglu M., Aronoff G., Jacobs A., Żurada J., Brier M.: Using clinical information in goal-oriented learning. IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 2007, ss.27-36.
[17] Gawinecki M., Kruszyk M., Paprzycki M., Ganzha M.: Pitfalls of agent system development on the basis of a travel support system. LECTURE NOTES IN COMPUTER SCIENCE, 2007, 4439, ss.488-499.
[18] Greco S., Matarazzo B., Słowiński R.: Dominance-based rough set approach as a proper way of handling graduality in rough set theory. LECTURE NOTES IN COMPUTER SCIENCE, 2007, 4400, ss.36-52.
[19] Greco S., Słowiński R., Stefanowski J.: Evaluating importance of conditions in the set of discovered rules. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4482, ss. 314-321.
[20] Greco S., Słowiński R., Yao Y.: Bayesian decision theory for dominance-based rough set approach. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4481, ss.134-141.
[21] Grzegorzewski P., Mrówka E.: Flexible querying via IF-sets. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2007, 22, ss.589-597.
[22] Grzegorzewski P., Mrówka E .: Trapezodial approximations of fuzzy numbers- revisited. FUZZY SET AND SYSTEMS, 2007, 158, ss.757-768.
[23] Habas P., Żurada J.: Reliability analysis framework for computer-assisted medical decision systems. MEDICAL PHYSICS, 2007, 34, ss.1645-1657.
[24] He Z., Xie S., Ding S., Cichocki K.: Convolutive blind source separation in the frequency domain based on sparse representation. IEEE TRANSACTION ON AUDIO, SPEECH, AND LANGUAGE PROCESSSING, 2007, 15, ss.1551-1563.
[25] Hou Y., Żurada J., Karwowski W., Marras W., Davis K.: Estimation of the dynamic spinal forces using a recurrent fuzzy neural network. IEEE TRANSACTION ON SYSTEMS, MAN, AND CYBERNETICS – PART B: CYBERNETICS, 2007, 37, ss.100-109.
[26] Hou Y., Żurada J., Karwowski W., Marras W., Davis K.: Identification of key variables using fuzzy average with fuzzy cluster distribution. IEEE TRANSACTION ON FUZZY SYSTEMS, 2007, 15, ss.673-685.
[27] Jaworska T.: Object extraction as a basic process for content-based image retrieval (CBIR) system. OPTO-ELECTRONICS REVIEW, 1997 [druk 2007], 15, ss.184-195.
[28] Kacprzyk J., Wilbik A., Zadrożny S.: Linguistic summarization of time series by using the Choquet integral. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4529, ss. 284-294.
[29] Kacprzyk J., Wilbik A., Zadrożny S.: Linguistic summarization of time series under different granulation of describing features. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4585, ss.230-240.
[30] Kaliszewski I.: A method of approximating Pareto sets for assessments of implicit Pareto set elements. CONTROL AND CYBERNETICS, 2007, 36, ss.367-381.
[31] Kiwiel K.: Convergence of the gradient sampling algorithm for nonsmooth nonconvex optimizations. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2007, 18, ss.379-388.
[32] Kiwiel K.: On linear-time algorithms for the continuous quadratic knapsack problem. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2007, 133, ss.549-554.
[33] Kiwiel K., Larsson T., Lindberg P.: Lagrangian relaxation via ballstep subgradient methods. MATHEMATICS OF OPERATIONS RESEARCH, 2007, 32, ss.669-686.
[34] Klukowski L.: Completion and clarification to the paper test for relation type – equivalence of tolerance – in finite set of elements. CONTROL AND CYBERNETICS, 2007, 36, ss. 467-468.
[35] Klukowski L.: Estimation of tolerance relation on the basis of multiple pairwise comparisons with random errors. CONTROL AND CYBERNETICS, 2007, 36, ss.443-466.
[36] Krajewski W., Viaro U.: On MIMO model reduction by weighted equation-error approach. NUMERICAL ALGORITHMS, 2007, 44, ss.83-98.
[37] Krajewski W., Viaro U.: Root-locus invariance, exploiting alternative arrival and departure points IEEE CONTROL AND SYSTEMS MAGAZINE, 2007, 27, ss.36-43.
[38] Kwak J., Wai-Hung Tsang I., Żurada J.: A class of single–class minimax probability machines for novelty detection. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 18, ss.778-785.
[39] Libura M.: On the adjustment problem for linear programs. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 183, ss.125-134.
[40] Lieberman D., Jones M., Winiwater W., Nahorski Z., Nilsson S.: Accounting for climate change: introduction. WATER AIR AND SOIL POLLUTION: FOCUS, 2007, 7, ss.421-424.
[41] Liu X., Pedrycz W.: The development of fuzzy decision trees in the framework of axiomatic fuzzy set logic. APPLIED SOFT COMPUTING, 2007, 7, ss.325-342.
[42] Malanowski K.: A characterization of stability and sensitivity properties for state-constrained optimal control. CONTROL AND CYBERNETICS, 2007, 36, ss.711-726.
[43] Malanowski K.: Stability analysis for nonlinear optimal control problems subject to state constrints. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2007, 18, ss.926-945.
[44] Malanowski K.: Stability and sensitivity analysis for linear-quadratic optimal control subject to state constraints. OPTIMIZATION, 2007, 55, ss.463-478.
[45] Malanowski K.: Sufficient optimality conditions in stability analysis for state – constrained optimal control. APPLIED MATHEMATICS AND OPTIMIZATION, 2007, 55, ss.255-271.
[46] Malinowski J.: Node–pair reliability of network systems with small distances between adjacent nodes. RELIABILITY ENGINEERING AND SYSTEM SAFETY, 2007, 92, ss. 479-489.
[47] Michałowski W., Kersten G., Słowiński R., Wilk S.: Designing Man-machine interactions for mobile clinical systems: MET tiage support on palm handheld. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 177, ss.1409-1417.
[48] Nahorski Z., Horabik J., Jones M.: Compliance and emission trading under the Kyoto protocol: rules for uncertain inventories. WATER AIR AND SOIL POLLUTION: FOCUS, 2007, ss.539-558.
[49] Nahorski Z., Jęda W.: Processing national CO2 inventory emission data and their total uncertainty estimates. WATER AIR AND SOIL POLLUTION: FOCUS, 2007, 7, ss.513-527.
[50] Oh S., Pedrycz W., Park H.: Fuzzy relation-based neural networks and their hybrid identification. IEEE TRANSACTION ON INSTRUMENTATION AND MEASUREMENT, 2007, 56, ss.1-15.
[51] Oh S., Pedrycz W., Park K.: Structural developments of fuzzy systems with the aid of information granulation. SIMULATION MODELLING PRACTICE AND THEORY, 2007, 15, ss.1292-1309.
[52] Olejnik R., Toursel B., Ganzha M., Paprzycki M.: Combining software agents and grid middleware. LECTURE NOTES IN COMPUTER SCIENCE, 2007, 4459, ss.678-665.
[53] Pawłow-Niezgódka I.: Regular weak solutions to 3-D Cahn-Hilliard system in elastic solids. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS, 2007, ss.824-833.
[54] Pedrycz W.: Genetic tolerance fuzzy neural networks: from data to fuzzy hyperboxes. NEUROCOMPUTING, 2007, 70, ss.1403-1413.
[55] Pedrycz W., Hirota K.: Fuzzy vector quantization with the particle swarm optimization: a study in fuzzy granulation-degranulation information processing. SIGNAL PROCESSING, 2007, 87, ss.2061-2074.
[56] Pedrycz W., Hirota K.: Forming consensus in the networks of knowledge. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2007, 20, ss.657-666.
[57] Pedrycz W., Kwak K.: The development of incremental models. IEEE TRANSACTION ON FUZZY SYSTEMS, 2007, 15, ss.507-518.
[58] Pedrycz W., Oh S., Park H.: Evolutionary design of hybrid self – organizing polynomial neural networks with the aid of information granulation. EXPERT SYSTEMS WITH APPLICATIONS, 2007, 33, ss.830-846.
[59] Podkopaev D.: An approach to finding trade-off solutions by a linear transformation of objective functions. CONTROL AND CYBERNETICS, 2007, 36, ss.347-355.
[60] Słowiński R., Greco S., Matarazzo B.: Dominance-based rough set approach to reasoning about ordinal data. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4585, ss. 5-11.
[61] Słowiński R., Szczęch I., Urbanowicz M., Greco S.: Mining association rules with respect to support and ant-support – experimental results. LECTURE NOTES IN ARTTIFICIAL INTELLIGENCE, 2007, 4585, ss.534-542.
[62] Szmidt E., Kacprzyk J.: Classification with nominal data using intuitionistic fuzzy sets. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4529, ss.76-85.
[63] Szmidt E., Kacprzyk J.: Some problems with entropy measures for the Atanassov intuitionistic fuzzy sets. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4578, ss.291-297.
[64] Tay A., Żurada J., Wong L., Xu J.: The hierarchical fast learning artificial neural network (HieFLANN) – an autonomous platform for hierarchical neural network construction. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 18, ss.1645-1657.
[65] Tomczyk A., Szczepaniak P., Pryczek M.: Active contours as knowledge discovery methods. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4755, ss.209-218.
[66] Vukmirovic M., Szymczak M., Gawinecki M., Ganzha M., Paprzycki M.: Designing new ways for selling airline tickets. INFORMATICA, 2007, 31, ss.93-104.
[67] Tret’yakov A., Prusińska A.: A remark on existence of solutions to nonlinear equations with degenerate Mappin. SET-VALUED ANALYSIS, 2007, ss.10-22.
[68] Wang L., Liu W., Shi H., Żurada J.: Cellular neural networks with transient chaos. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS -PART B: CYBERNETICS, 2007, 54, ss.440-444.
[69] Yoshikova S., Pawłow-Niezgódka I., Zajączkowski W.: Quasi-linear thermoelasticity system arising in shape memory materials. SIAM JOURNAL ON MATHEMATICAL ANALYSIS, 2007, 38, ss.1733-1759.
[70] Zadrożny S., Kacprzyk J.: Biopolar queries using various interpretations of logical connectives. LECTURE NOTES IN COMPUTER SCIENCE, 2007, 4529, ss.181-190.
[1] Badica C., Paprzycki M. (Eds.): Advances in intelligent and distributed computing. Springer Verlag, Berlin, Heidelberg 2007, 309 s. Seria: Studies in Computational Intelligence, Vol. 78.
[2] Batyrshin I., Kacprzyk J., Sheremetov L., Zadeh L. (Eds.): Perception-based data mining and decision making in economics and finance. Springer Verlag, Heidelberg 2007, 367 s. Seria: Studies in Computational Intelligence, Vol. 36.
[3] Bednarczuk E., Naniewicz Z., Zagrodny D. (Eds.): In honour of Professor Stefan Rolewicz. Special issue of CONTROL AND CYBERNETICS, Vol. 36, No. 1. 2007, 379 s.
[4] Castillo O., Melin P., Kacprzyk J., Pedrycz W. (Eds.): Hybrid intelligent systems: analysis and design. Springer Verlag, Heidelberg 2007, 433 s. Seria: Studies in Fuzziness and Soft Computing, Vol. 208.
[5] Castillo O., Melin P., Ross O., Sepulveda Cruz R., Pedrycz W., Kacprzyk J. (Eds.): Theoretical advances and applications of fuzzy logic and soft computing. Seria: Advances in Soft Computing, Berlin - Heidelberg 2007, 895 s.
[6] Kaliszewski I. (Ed.): Multiple criteria decision making refinements: models and methodologies. Special issue of CONTROL AND CYBERNETICS, Vol. 36, No. 1. 2007, 205 s.
[7] Kulczycki P., Hryniewicz O., Kacprzyk J. (Red.): Techniki informacyjne w badaniach systemowych. Wydawnictwa Naukowo-Techniczne, Warszawa 2007, 456 s.
[8] Lieberman D., Jonas M., Nahorski Z., Nilsson S. (Eds.): Accounting for climate change. Uncertainty in greenhouse gas inventories - verification, compliance, and trading. Springer Verlag, Dordrecht (Holandia) 2007, 159 s.
[9] Melin P., Castillo O., Aguilar L., Kacprzyk J., Pedrycz W. (Eds.): Foundations of fuzzy logic and soft computing. Lecture Notes in Artificial Intelligence, Berlin - Heidelberg 2007, 830 s. Seria: Lecture Notes in Computer Science, Vol. 4529.
[10] Melin P., Castillo O., Ramirez E., Kacprzyk J., Pedrycz W. (Eds.): Analysis and design of intelligent systems using soft computing techniques. Springer Verlag, Heidelberg 2007, 855 s. Seria: Advances in Soft Computing, Vol. 41.
[11] Nahorski Z., Owsiński J., Szapiro T. (Eds.): The socio-economic tansformation. Getting closer to what? Palgrave Macmillan, New York 2007, 146 s.
[12] Nikravesh M., Kacprzyk J., Zadeh L. (Eds.): Forging new frontiers: fuzzy pioneers I. Springer Verlag, Heidelberg 2007, 460 s. Seria: Studies in Fuzziness and Soft Computing, vol. 217.
[13] Węgrzyn-Wolska K., Szczepaniak P. (Eds.): Advances in intelligent web mastering. Springer Verlag, Berlin - Heidelberg 2007, 380 s.