Skip to main content

Lattices with Interior and Closure Operators and Abstract Approximation Spaces

  • Chapter
Transactions on Rough Sets X

Part of the book series: Lecture Notes in Computer Science ((TRS,volume 5656))

Abstract

The non–equational notion of abstract approximation space for roughness theory is introduced, and its relationship with the equational definition of lattice with Tarski interior and closure operations is studied. Their categorical isomorphism is proved, and the role of the Tarski interior and closure with an algebraic semantic of a S4–like model of modal logic is widely investigated.

A hierarchy of three particular models of this approach to roughness based on a concrete universe is described, listed from the stronger model to the weaker one: (1) the partition spaces, (2) the topological spaces by open basis, and (3) the covering spaces.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bialynicki-Birula, A.: Remarks on quasi–Boolean algebras. Bull. Acad. Pol. Sci. Cl III 5, 615–619 (1957)

    MathSciNet  MATH  Google Scholar 

  2. Bialynicki-Birula, A., Rasiowa, H.: On the representation of quasi–Boolean algebras. Bull. Acad. Pol. Sci. Cl III 5, 259–261 (1957)

    MathSciNet  MATH  Google Scholar 

  3. Birkhoff, G.: Lattice theory, 3rd edn. American Mathematical Society Colloquium Publication, vol. XXV. American Mathematical Society, Providence (1967); (first edition 1940, second (revisited) edition (1948)

    Google Scholar 

  4. Cattaneo, G.: Generalized rough sets (preclusivity fuzzy-intuitionistic BZ lattices). Studia Logica 58, 47–77 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  5. Cattaneo, G.: Abstract approximation spaces for rough theories. In: Polkowski, L., Skowron, A. (eds.) Rough Sets in Knowledge Discovery 1, pp. 59–98. Physica–Verlag, Heidelberg (1998)

    Google Scholar 

  6. Cattaneo, G., Ciucci, D.: About the Lattice Structure of Preclusive Rough Sets. In: IEEE International Conference on Fuzzy Systems, Budapest, July 25-28 (2004)

    Google Scholar 

  7. Cattaneo, G., Ciucci, D.: Algebraic structures for rough sets. In: Dubois, D., Grzymala-Busse, J.W., Inuiguchi, M., Polkowski, L. (eds.) Transactions on Rough Sets II. LNCS, vol. 3135, pp. 218–264. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  8. Cattaneo, G., Ciucci, D.: Investigation about Time Monotonicity of Similarity and Preclusive Rough Approximations in Incomplete Information Systems. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds.) RSCTC 2004. LNCS (LNAI), vol. 3066, pp. 38–48. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  9. Cattaneo, G., Ciucci, D.: Basic intuitionistic principles in fuzzy set theories and its extensions (a terminological debate on Atanassov IFS). Fuzzy sets and Systems 157, 3198–3219 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  10. Cattaneo, G., Ciucci, D.: Some methodological remarks about categorical equivalence in the abstract approach to roughness. Part I. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 277–283. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  11. Cattaneo, G., Ciucci, D.: Some methodological remarks about categorical equivalence in the abstract approach to roughness. Part II. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 284–289. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  12. Cattaneo, G., Ciucci, D.: A hierarchical lattice closure approach to abstract approximation spaces. In: Wang, G., Li, T., Grzymala-Busse, J.W., Miao, D., Skowron, A., Yao, Y. (eds.) RSKT 2008. LNCS (LNAI), vol. 5009, pp. 363–370. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  13. Chellas, B.F.: Modal logic, an introduction. Cambridge University Press, Cambridge (1988)

    MATH  Google Scholar 

  14. Cignoli, R.: Boolean elements in Łukasiewicz algebras. I. Proceedings of the Japan Academy 41, 670–675 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  15. Cignoli, R.: Injective de Morgan and Kleene algebras. Proceedings of the American Mathematical Society 47, 269–278 (1975)

    Article  MathSciNet  MATH  Google Scholar 

  16. Ciucci, D.: A unifying abstract approach for rough models. In: Wang, G., Li, T., Grzymala-Busse, J.W., Miao, D., Skowron, A., Yao, Y. (eds.) RSKT 2008. LNCS (LNAI), vol. 5009, pp. 371–378. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  17. Cattaneo, G., Marino, G.: Non-usual orthocomplementations on partially ordered sets and fuzziness. Fuzzy Sets and Systems 25, 107–123 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  18. Cattaneo, G., Nisticò, G.: Brouwer-Zadeh posets and three valued Łukasiewicz posets. Fuzzy Sets and Systems 33, 165–190 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  19. Düntsch, I., Gediga, G.: Approximation operators in qualitative data analysis. In: de Swart, H., Orłowska, E., Schmidt, G., Roubens, M. (eds.) Theory and Applications of Relational Structures as Knowledge Instruments. LNCS, vol. 2929, pp. 214–230. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  20. Düntsch, I., Orlowska, E.: Beyond modalities: Sufficiency and mixed algebras. In: Orlowska, E., Szalas, A. (eds.) Relational Methods for Computer Science Applications, pp. 277–299. Physica–Verlag, Heidelberg (2001)

    Google Scholar 

  21. Dunn, J.M.: Relevance logic and entailment. In: Gabbay, D., Guenther, F. (eds.) Handbook of Philosophical Logic, vol. 3, pp. 117–224. Kluwer, Dordrecht (1986)

    Chapter  Google Scholar 

  22. Everett, C.J.: Closure operators and Galois theory in lattices. Transaction of the American Mathematical Society 55, 514–525 (1944)

    Article  MathSciNet  MATH  Google Scholar 

  23. Goldblatt, R.: Mathematical modal logic: A view of its evolution. J. Applied Logic 1, 309–392 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  24. Grzymala-Busse, J.W., Grzymala-Busse, W.J.: Handling missing attribute values. In: Maimon, O., Rokach, L. (eds.) The Data Mining and Knowledge Discovery Handbook, pp. 37–57. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  25. Grzymala-Busse, J.W., Rzasa, W.: Local and global approximations for incomplete data. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets VIII. LNCS, vol. 5084, pp. 21–34. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  26. Grzymala-Busse, J.W.: Data with missing attribute values: Generalization of indiscernibility relation and rule induction. In: Peters, J.F., Skowron, A., Grzymała-Busse, J.W., Kostek, B.z., Świniarski, R.W., Szczuka, M.S. (eds.) Transactions on Rough Sets I. LNCS, vol. 3100, pp. 78–95. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  27. Hardegree, G.M.: The conditional in abstract and concrete quantum logic. In: Hooker, C.A. (ed.) Logico–Algebraic approach to quantum mechanics. II, pp. 49–108. D. Reidel, Dordrecht (1979)

    Chapter  Google Scholar 

  28. Hardegree, G.M.: Material implication in orthomodular (and Boolean) lattices. Notre Dame Journal of Modal Logic 22, 163–182 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  29. Hughes, G.E., Cresswell, M.J.: A companion to modal logic. Methuen, London (1984)

    MATH  Google Scholar 

  30. Järvinen, J.: Pawlak’s information systems in terms of Galois conections and functional dependencies. Fundamenta Informaticae 75, 315–330 (2007)

    MathSciNet  MATH  Google Scholar 

  31. Järvinen, J., Kondo, M., Kortelainen, J.: Modal-like operators in Boolean lattices, Galois connections and fixed points. Fundamenta Informaticae 76, 129–145 (2007)

    MathSciNet  MATH  Google Scholar 

  32. Kalman, J.A.: Lattices with involution. Transactions of the American Mathematica Society 87, 485–491 (1958)

    Article  MathSciNet  MATH  Google Scholar 

  33. Kripke, S.A.: Semantical analysis of modal logic I. Normal modes propositional calculi. Zeitschrift für Mathematische Logik und Grundlagen der Mathematik 9, 67–96 (1963)

    Google Scholar 

  34. Kryszkiewicz, M.: Rough set approach to incomplete information systems. Information Sciences 112, 39–49 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  35. Mac Lane, S.: Categories for the working mathematicians. Graduate Text in Mathematics, vol. 5. Springer, Heidelberg (1971)

    Book  MATH  Google Scholar 

  36. Latkowski, R.: Flexible indiscernibility relations for missing attribute values. Fundamenta informaticae 67, 131–147 (2005)

    MathSciNet  MATH  Google Scholar 

  37. Moisil, G.C.: Recherches sur l’algebres de la logiques. Annales Sc. Univ. Jassy 22, 1–117 (1935)

    Google Scholar 

  38. Monteiro, A., Ribeiro, H.: L’operation de fermeture et ses invariants dans les systemes partiellement ordennes. Portugaliae Mathematica 3, 171–184 (1942)

    MathSciNet  MATH  Google Scholar 

  39. Ore, O.: Combinations of closure relations. Annals of Mathematics 44, 514–533 (1942)

    Article  MathSciNet  MATH  Google Scholar 

  40. Ore, O.: Galois connexions. Transactions of the American Mathematical Society 55, 493–513 (1944)

    Article  MathSciNet  MATH  Google Scholar 

  41. Orlowska, E.: Kripke semantics for knowledge representation logics. Studia Logica 49, 255–272 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  42. Orlowska, E.: Introduction: What you always wanted to know about rough sets. In: Orlowska, E. (ed.) Incomplete Information: Rough Set Analysis, pp. 1–20. Physica–Verlag, Heidelberg (1998)

    Chapter  Google Scholar 

  43. Pawlak, Z.: Information systems - theoretical foundations. Information Systems 6, 205–218 (1981)

    Article  MATH  Google Scholar 

  44. Pawlak, Z.: Rough sets. Int. J. of Computer and Information Sciences 11, 341–356 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  45. Pawlak, Z.: Rough sets: A new approach to vagueness. In: Zadeh, L.A., Kacprzyc, J. (eds.) Fuzzy Logic for the Management of Uncertainty, pp. 105–118. J. Wiley and Sons, New York (1992)

    Google Scholar 

  46. Poincaré, H.: Le continu mathématique. Revue de Métaphysique et de Morale I, 26–34 (1893) (reprinted in [47] as Chapter II)

    Google Scholar 

  47. Poincaré, H.: La science et l’hypothèse. Flammarion, Paris (1903); English translation as Science and Hypothesis. Dover, New York (1952)

    Google Scholar 

  48. Polkowski, L.: Rough sets. Mathematical foundations. Physica Verlag, Heidelberg (2002)

    Book  MATH  Google Scholar 

  49. Pomykala, J.A.: Approximation operations in approximation space. Bulletin of the Polish Academy of Sciences - Mathematics 35, 653–662 (1987)

    MathSciNet  MATH  Google Scholar 

  50. Polkowski, L., Skowron, A., Zytkow, J.: Tolerance based rough sets. In: Lin, T.Y., Wildberger, A.M. (eds.) Third International Workshop on Rough Sets and Soft Computing, University of San Jose, California, pp. 55–58 (1994)

    Google Scholar 

  51. Simmons, G.F.: Topology and modern analysis. McGraw-Hill Book Company, Inc., New York (1963)

    MATH  Google Scholar 

  52. Skowron, A., Stepaniuk, J.: Tolerance approximation spaces. Fundamenta Informaticae 27, 245–253 (1996)

    MathSciNet  MATH  Google Scholar 

  53. Stefanowski, J., Tsoukias, A.: Incomplete information tables and rough classification. Computational Intelligence 17, 545–566 (2001)

    Article  MATH  Google Scholar 

  54. Słowinski, R., Vanderpooten, D.: Similarity relation as a basis for rough approximations. In: Wang, P.P. (ed.) Advances in Machine Intelligence and Soft-Computing, vol. IV, pp. 17–33. Duke University Press, Durham (1997)

    Google Scholar 

  55. Tarski, A.: Fundamentale Begriffe der Methodologie der deduktiven Wissennschaften. I. Monathshefte fur Mathematik und Physik 37, 361–404 (1930) (English version in [56])

    Article  Google Scholar 

  56. Tarski, A.: Logic, semantics, metamathematics. Hackett, Indianapolis (1983); Second Edition–First Edition, by Oxford 1956

    Google Scholar 

  57. van Frassen, B.C.: Formal semantic and logic. Macmillan, New York (1971)

    Google Scholar 

  58. Ward, M.: The closure operator on lattice. Annals of Mathematics 43, 191–196 (1942)

    Article  MathSciNet  MATH  Google Scholar 

  59. Wiweger, A.: On topological rough sets. Bullettin of the Polish Academy of Sciences–Mathematics 37, 89–93 (1989)

    MathSciNet  MATH  Google Scholar 

  60. Yao, Y.Y.: Two views of the theory of rough sets in finite universes. International Journal of Approximate Reasoning 15, 291–317 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  61. Yao, Y.Y.: On generalizing Pawlak approximation operators. In: Polkowski, L., Skowron, A. (eds.) RSCTC 1998. LNCS (LNAI), vol. 1424, pp. 298–307. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  62. Yao, Y.Y.: Relational interpretations of neighborhood operators and rough set approximation operators. Information Sciences 111, 239–259 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  63. Yao, Y.Y.: A note on definability and approximations. In: Peters, J.F., Skowron, A., Marek, V.W., Orłowska, E., Słowiński, R., Ziarko, W.P. (eds.) Transactions on Rough Sets VII. LNCS, vol. 4400, pp. 274–282. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  64. Yao, Y.Y., Lin, T.Y.: Generalization of rough sets using modal logic. Intelligent Automation and Soft Computing, an International Journal 2, 103–120 (1996)

    Article  Google Scholar 

  65. Yao, Y., Li, X., Lin, T., Liu, Q.: Representation and classification of rough set models. In: Conference Proceeding of Third International Workshop on Rough Sets and Soft Computing, San Jose, California, November 10-12, pp. 630–637 (1994)

    Google Scholar 

  66. Yao, Y.Y., Wong, S.K.M., Lin, T.Y.: A review of rough set models. In: Lin, T.Y., Cercone, N. (eds.) Rough Sets and Data Mining: Analysis for Inprecise Data, Boston, pp. 47–75. Kluwer, Dordrecht (1997)

    Chapter  Google Scholar 

  67. Zakowski, W.: Approximations in the space (U,π). Demonstration Mathematica XVI, 761–769 (1983)

    Google Scholar 

  68. Zeeman, E.C.: The topology of the brain and visual perception. Topology of 3-manifolds and related topics, pp. 240–256. Prentice-Hall, Englewood Cliffs (1962)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Cattaneo, G., Ciucci, D. (2009). Lattices with Interior and Closure Operators and Abstract Approximation Spaces. In: Peters, J.F., Skowron, A., Wolski, M., Chakraborty, M.K., Wu, WZ. (eds) Transactions on Rough Sets X. Lecture Notes in Computer Science, vol 5656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03281-3_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03281-3_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03280-6

  • Online ISBN: 978-3-642-03281-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics