Publications

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  1. Peters, J.F. Tolerance near sets and image correspondence. Int. J. of Bio-Inspired Computation 4 (1) 2009, 239-245. http://inderscience.metapress.com/link.asp?id=a281425974vg1534
  2. Pawlak, Z., Peters, J.F. Jak blisko (How near), Systemy Wspomagania Decyzji, Vol. I, 2002, 2006, pp. 57 (Polish), 109 (English), ISBN 83-920730-4-5.
  3. ISBN: 978-0-387-75888-6, http://www.springer.com/physics/book/978-0-387-75888-6
  4. Peters, J.F. Fuzzy sets, near sets, and rough sets for your computational intelligence toolbox, in A.-E. Hassanien, A. Abraham, F. Herrera, Eds. Foundations of Computational Intelligence, Volume 2, Approximate Reasoning Series: Studies in Computational Intelligence , Vol. 202. Springer, Heidelberg, 202, 2009, 3-25, doi: 10.1007/978-3-642-01533-5 1. ISBN: 978-3-642-01532-8. Available here.
  5. Peters, J.F., Pedrycz, W. Computational intelligence, Wiley Encyclopedia of Computer Science and Engineering NY: John Wiley & Sons, Ltd, 2008, available here.
  6. Skowron, A., Peters, J.F. Rough-Granular Computing. In: Pedrycz, W., Skowron, A., Kreinovich, V.(Eds.), Handbook on Granular Computing, Wiley, NY, 2008, 285-329.
  7. Peters, J.F. Perceptual granulation in ethology-based reinforcement learning, In: Pedrycz,W., Skowron, A., Kreinovich, V., Eds., Handbook on Granular Computing, Wiley, NY, 2008, 671-688.
  8. Pal, S., Peters, J.F., Eds. Rough Fuzzy Image Analysis. London, CRC Press, Taylor & Francis Group, 2009, to appear.
  9. Gupta, S., Patnaik, K.S., Enhancing performance of face recognition system by using near set approach for selecting facial features, Journal of Theoretical and Applied Information Technology 4 (5) 2008, 433-441, http://www.jatit.org/volumes/fourth_volume_5_2008.php
  10. Bhatt, R., Ramanna, S., Peters, J.F., Approximating fuzzy membership functions from clusterfed raw dafta, Int. J. of Fuzzy Systems and Rough Systems, 2009, to appear.
  11. Bhatt, R., Ramanna, S., Peters, J.F., Software defect classification: A comparative study of rough-neuro-fuzzy hybrid approaches and non-linear SVMs, in A. Abraham, F. Rafael, B. Rafael, Eds., Rough Set Research. Theory and Applications, Springer, Studies in Computational Intelligence, 2008, to appear.
  12. Patnaik, K.S., Anwar, S., Q learning in context of approximation spaces, Contemporary Engineering Sciences 1, 2008, 41-49. http://www.m-hikari.com/ces/forth/patnaikCES1-4-2008.pdf
  13. Anwar, S., Patnaik, K.S., Actor critic learning: A near set approach, in C. Chien-Chung, J.W. Grzymala-Busse, W. Ziarko, Eds., The Sixth Int. Conf. on Rough Sets and Current Trends in Computing (RSCTC 2008), Akron, Ohio, 23-25 Oct. 2008, to appear.
  14. Nguyen, H.S., Jankowski, A., Peters, J.F., Skowron, A., Szczuka, M., Stepaniuk, J., Discovery of process models from data and domain knowledge: A rough-granular approach, in J.T. Yao, Ed., Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation, Hersey, NY: Information Science Reference, 2008, to appear.
  15. Peters, J.F. Analyzing system behaviour with Bayesian analysis of system patterns. Int. J. of Computer Science, Systems Engineering and Information Technology 2 (1), 2009, 17-23.
  16. Peters, J.F., Ramanna, S., Affinities between perceptual granules: Foundations and Perspectives, in Bargiela, A., Pedrycz, W., Eds. Human-Centric Information Processing SCI 182, Springer, ISBN 978-3-540-92915-4. 2009, 49-66. http://www.springerlink.com/content/n62j64j154153258
  17. Peters, J.F., Szturm, T., Borkowski, M., Lockery, D., Ramanna, S. Wireless Adaptive Therapeutic TeleGaming in a Pervasive Computing Environment. A.-E. Hassanien, J.H. Abawajy, A. Abraham, H. Hagras, Eds., Innovations in Intelligent Multimedia and Pervasive Computing, Springer, Heidelberg, Germany, 2009, Part I: Multimedia and Pervasive Systems, Ch. 1. ISBN 978-1-84882-598-7.
  18. Jankowski, A., Peters, J.F., Skowron, A., Stepaniuk, J. Optimization in discovery of compound granules. Fundamenta Informaticae 80, 2008, 1-17.
  19. Henry, C., Peters, J.F.: Near set index in an objective image segmentation evaluation framework. GEOBIA 2008 Pixels, Objects, Intelligence. GEOgraphic Object Based Image Analysis for the 21st Century, University of Calgary, Alberta 2008, 1-6.
  20. Peters, J.F., Discovery of perceptually near information granules, in J.T. Yao Ed. Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation, Hersey, NY: Information Science Reference, 2008, to appear.
  21. Patnaik, K.S., Peters, J.F., Anwar, S.: Influence of temperature on swarmbots that learn. Cybernetics and Systems Journal (2008), in press.
  22. Han, L., Peters, J.F.: Rough neural fault classification of power system signals. Transactions on Rough Sets VIII, 2008, 396-520. Appendices A to J.
  23. Borkowski, M., Peters, J.F.: Matching 2D image segments with genetic algorithms and approximation spaces. Transactions on Rough Sets V, LNCS 4100 (2006), 63-101.
  24. Hassanien, A.E., Abraham, A., Kacprizyk, J., Peters, J.F.: Computational intelligence in multimedia processing: Foundations and trends, in Computational Intelligence in Medical Imaging: Foundations and Applications, CRC Press, in press.
  25. Henry, C., Peters, J.F., 2007, Image Pattern Recognition Using Approximation Spaces and Near Sets, In: Proceedings of Eleventh International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2007), Joint Rough Set Symposium (JRS 2007), Lecture Notes in Artificial Intelligence, vol. 4482, pp. 475-482.