Skip to main content

Structure of Rough Approximations Based on Molecular Lattices

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3066))

Abstract

Generalization of rough set model is one important aspect of rough set theory study, and it is very helpful to consummate rough set theory. Developing rough set theory using algebra systems has been paid great attention, and some researchers had reported significant developments. But the base algebra systems, on which approximation operators are defined, are confined to special Boolean algebras, including set algebra and atomic Boolean lattice. This paper introduces molecular lattices as base algebra system. Based on molecules of a molecular lattice, a mapping called meta-mapping is defined. Consequently, the approximation operators, which are more general and abstract compared with approximation operators reported in some papers, are defined based on the frame of molecular lattices. The properties of the approximations are also studied.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Pawlak, Z.: Rough Sets–Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)

    MATH  Google Scholar 

  2. Lin, T.Y., Liu, Q.: Rough approximate operators: Axiomatic rough set theory. In: Ziarko, W.P. (ed.) Rough Sets, Fuzzy Sets and Knowledge Discovery, pp. 256–260. Springer, London (1994)

    Google Scholar 

  3. Yao, Y.Y.: Constructive and algebraic methods of the theory of rough sets. Information Sciences 109(1-4), 21–47 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  4. Jarvinen, J.: On the structure of rough approximations. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.) RSCTC 2002. LNCS (LNAI), vol. 2475, pp. 123–230. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  5. Wang, G.J.: On construction of Fuzzy lattice. ACTA Mathematical SINICA(in Chinese) 29(4), 539–543 (1986)

    MATH  Google Scholar 

  6. Wang, G.J.: Theory of Topological Molecular Lattices. Fuzzy Sets and Systems 47, 351–376 (1992)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dai, JH. (2004). Structure of Rough Approximations Based on Molecular Lattices. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds) Rough Sets and Current Trends in Computing. RSCTC 2004. Lecture Notes in Computer Science(), vol 3066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25929-9_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-25929-9_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22117-3

  • Online ISBN: 978-3-540-25929-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics