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Year: 2010

  • L. Bartczuk, P. Dziwi'nski and J. Starczewski. "New method for generation type-2 fuzzy partition for FDT". Artificial Intelligence and Soft Computing. 2010. pp. 275-280. [More]
  • J. Starczewski, L. Bartczuk, P. Dziwi'nski and A. Marvuglia. "Learning methods for type-2 FLS based on FCM". Artificial Intelligence and Soft Computing. 2010. pp. 224-231. [More]
  • M. Korytkowski, R. K. Nowicki, L. Rutkowski and R. Scherer. "MICOG Defuzzification Rough–Neuro–Fuzzy System Ensemble". 2010 IEEE International Conference on Fuzzy Systems, IEEE World Congress on Computational Intelligence. 2010. pp. 2268-2273. [More]
  • R. Nowicki. "On classification with missing data using rough-neuro-fuzzy systems", International Journal of Applied Mathematics and Computer Science, Vol. 20. 2010, pp. 55–-67. [More]
  • R. K. Nowicki and J. T. Starczewski. "On Non-Singleton Fuzzifcation with DCOG Defuzzifcation", Lecture Notes in Computer Science, Vol. 6113. 2010, pp. 168-174. [More]
  • M. Korytkowski, R. Nowicki, R. Scherer and L. Rutkowski. "MICOG Defuzzification Rough--Neuro--Fuzzy System Ensemble". 2010 IEEE International Conference on Fuzzy Systems. 2010. [More]
  • R. Scherer. "Neuro-fuzzy Systems with Relation Matrix", Lecture Notes in Artificial Intelligence, Vol. 6113. 2010, pp. 210-216. [More] [Online version]
  • M. Korytkowski, L. Rutkowski, R. Scherer and A. Szarek. "Neural Network-Based Assessment of Femur Stress after Hip Joint Alloplasty", Lecture Notes in Artificial Intelligence, Vol. 6113. 2010, pp. 621-626. [More] [Online version]
  • M. Korytkowski and R. Scherer. "Negative Correlation Learning of Neuro-fuzzy System", Lecture Notes in Artificial Intelligence, Vol. 6113. 2010, pp. 114-119. [More] [Online version]
  • M. Korytkowski and R. Scherer. "Modular Neuro-Fuzzy Systems Based on Generalized Parametric Triangular Norms", Lecture Notes in Computer Science, Vol. 6067. 2010, pp. 332-339. [More] [Online version]
  • R. Scherer and J. T. Starczewski. "Relational Type-2 Interval Fuzzy Systems", Lecture Notes in Computer Science, Vol. 6067. 2010, pp. 360–368. [More] [Online version]
  • R. Scherer. "Designing Boosting Ensemble of Relational Fuzzy Systems", International Journal of Neural Systems, Vol. 20. 2010, pp. 381–388. [More] [Online version]

Year: 2009

  • K. Cpałka, O. Rebrova and L. Rutkowski. "A new method for complexity reduction of neuro fuzzy systems with application to differential stroke diagnosis", Lecture Notes in Computer Science, Vol. 5769. 2009, pp. 435-444. [More]
  • K. Cpałka. "On evolutionary designing and learning of flexible neuro fuzzy structures for nonlinear classification", Nonlinear Analysis Series A: Theory, Methods & Applications, Vol. 71. 2009. [More]
  • K. Cpałka. "A New Method for Design and Reduction of Neuro Fuzzy Classification Systems", IEEE Transactions on Neural Networks, Vol. 20. 2009, pp. 701 714. [More]
  • M. Korytkowski, R. Nowicki and R. Scherer. "Neuro-Fuzzy Rough Classifier Ensemble", Lecture Notes in Computer Science, Vol. 5768. 2009, pp. 817-823. [More]
  • R. Nowicki. Rozmyte systemy decyzyjne w zadaniach z ograniczon¹ wiedz¹, Warsaw : EXIT Academic Publishing House, 2009. [More]
  • R. K. Nowicki. "Nonlinear modelling and classification based on the MICOG defuzzification", Journal of Nonlinear Analysis, Series A: Theory, Methods & Applications, Vol. 7. 2009, pp. e1033-e1047. [More]
  • R. Nowicki. "Rough--neuro--fuzzy structures for classification with missing data", IEEE Trans. on Systems, Man, and Cybernetics---Part B: Cybernetics, Vol. 39. 2009, pp. 1334-1347. [More]
  • R. Scherer. "Neuro-Fuzzy Relational Systems for Nonlinear Approximation and Prediction", Nonlinear Analysis, Vol. 71. 2009, pp. e1420-e1425. [More] [Online version]
  • M. Korytkowski, R. Nowicki and R. Scherer. "Neuro-fuzzy Rough Classifier Ensemble", Lecture Notes in Computer Science, Vol. 5768. 2009, pp. 817-823. [More] [Online version]

Year: 2008

  • R. K. Nowicki. "On Combining Neuro--Fuzzy Architectures with the Rough Set Theory to Solve Classification Problems with Incomplete Data", IEEE Trans. on Knowledge and Data Engineering, Vol. 20, Sep, 2008, pp. 1239-1253. [More]
  • K. Cpałka and L. Rutkowski. "An Application of Weighted Triangular Norms to Complexity Reduction of Neuro Fuzzy Systems", Lecture Notes in Artificial Intelligence, Vol. 5097. 2008, pp. 207-216. [More]
  • K. Cpałka, O. Rebrova, T. Gałkowski and L. Rutkowski. "On Differential Stroke Diagnosis by Neuro Fuzzy Structures", Lecture Notes in Artificial Intelligence, Vol. 5097. 2008, pp. 974-980. [More]
  • P. Dziwi'nski and D. Rutkowska. "Ant focused crawling algorithm", Artificial Intelligence and Soft Computing--ICAISC 2008. 2008, pp. 1018-1028. [More]
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