Abstract
In the paper we discuss parameterized approximation spaces 0relevant for rough neurocomputing. We propose to use standards defined by classifiers in approximate reasoning. In particular, such standards are used for extraction rules of approximate reasoning (called productions) from data and next for deriving approximate reasoning schemes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Doherty, P., Lukaszewicz, W., Skowron, A., Szalas, A.: Combining rough and crisp knowledge in deductive databases. (to appear in Polkowski, L., Skowron, A. (Eds.): Rough-Neuro Computing: Techniques for Computing with Words. Springer-Verlag, Berlin (2002) [4])
Mitchell, T.M.: Machine Learning. Mc Graw-Hill, Portland (1997)
Pal, S.K., Pedrycz, W., Skowron, A., Swiniarski, R. (Eds.): Rough-Neuro Computing. Neurocomputing: An International Journal (special issue) 36 (2001)
Pal, S.K., Polkowski, L., Skowron, A. (Eds.): Rough-Neuro Computing: Techniques for Computing with Words. Springer-Verlag, Berlin (2002) (to appear).
Pawlak, Z.: Rough Sets-Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)
Peters, J.F., Skowron, A., Stepaniuk, J., Ramanna, S.: Towards an ontology of approximate reason. Fundamenta Informaticae, 51(1-2) (2002) (to appear)
Polkowski, L., Skowron, A.: Rough mereology: a new paradigm for approximate reasoning. International J. Approximate Reasoning 15(4) (1996) 333–365
Polkowski, L., Skowron, A.: Towards adaptive calculus of granules. In Kacprzyk, J. (Eds.): Computing with Words in Information/Intelligent Systems 132. Physica-Verlag, Heidelberg [16] (1999) 201–227
Polkowski, L., Skowron, A.: Rough-neuro computing. Lecture Notes in Artificial Intelligence 2005, Springer-Verlag, Berlin (2002) 57–64
Skowron, A.: Toward intelligent systems: Calculi of information granules. Bulletin of the International Rough Set Society 5(1-2) (2001) 9–30
Skowron, A., Stepaniuk, J.: Information granules: Towards foundations of granular computing. International Journal of Intelligent Systems 16(1) (2001) 57–86
Skowron, A., Stepaniuk, J.: Information Granules and Rough-Neuro Computing, (to appear in Polkowski, L., Skowron, A. (Eds.): Rough-Neuro Computing: Techniques for Computing with Words. Springer-Verlag, Berlin (2002) [4])
Zadeh, L.A.: Fuzzy logic = computing with words. IEEE Trans. on Fuzzy Systems 4 (1996) 103–111
Zadeh, L.A.: Toward a theory of fuzzy information granulation and its certainty in human reasoning and fuzzy logic. Fuzzy Sets and Systems 90 (1997) 111–127
Zadeh, L.A.: A new direction in AI: Toward a computational theory of perceptions. AI Magazine 22(1) (2001) 73–84
Zadeh, L.A., Kacprzyk, J. (Eds.): Computing with Words in Information/Intelligent Systems 132. Physica-Verlag, Heidelberg (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Skowron, A., Stepaniuk, J., Peters, J.F. (2002). Rough Neurocomputing Based on Hierarchical Classifiers. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds) Rough Sets and Current Trends in Computing. RSCTC 2002. Lecture Notes in Computer Science(), vol 2475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45813-1_41
Download citation
DOI: https://doi.org/10.1007/3-540-45813-1_41
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44274-5
Online ISBN: 978-3-540-45813-5
eBook Packages: Springer Book Archive