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Closed-set lattice of regular sets based on a serial and transitive relation through matroids

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Abstract

Rough sets are efficient for data pre-processing in data mining. Matroids are based on linear algebra and graph theory, and have a variety of applications in many fields. Both rough sets and matroids are closely related to lattices. For a serial and transitive relation on a universe, the collection of all the regular sets of the generalized rough set is a lattice. In this paper, we use the lattice to construct a matroid and then study relationships between the lattice and the closed-set lattice of the matroid. First, the collection of all the regular sets based on a serial and transitive relation is proved to be a semimodular lattice. Then, a matroid is constructed through the height function of the semimodular lattice. Finally, we propose an approach to obtain all the closed sets of the matroid from the semimodular lattice. Borrowing from matroids, results show that lattice theory provides an interesting view to investigate rough sets.

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References

  1. Birkhoff G (1995) Lattice theory. Am Math Soc

  2. Chen D, Zhang W, Yeung D, Tsang E (2006) Rough approximations on a complete completely distributive lattice with applications to generalized rough sets. Inf Sci 176:1829–1848

    Article  MATH  MathSciNet  Google Scholar 

  3. Dai J (2008) Rough 3-valued algebras. Inf Sci 178:1986–1996

    Article  MATH  Google Scholar 

  4. Dai J (2005) Logic for Rough sets with rough double stone algebraic semantics. In: Proceedings of the 10th international conference on rough sets, fuzzy sets, data mining, and granular computing, pp 141–148

  5. Dai J, Chen W, Pan Y (2006) Rough sets and Brouwer-Zadeh lattices. In: Proceedings of the 1st international conference on rough sets and knowledge technology, pp 200–207

  6. Dai J, Xu Q (2013) Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification. Appl Soft Comput 13:211–221

    Article  Google Scholar 

  7. Dai J, Xu Q, Wang W, Tian H (2012) Conditional entropy for incomplete decision systems and its application in data mining. Int J General Syst 41:713–728

    Article  MATH  MathSciNet  Google Scholar 

  8. Edmonds J (1971) Matroids and the greedy algorithm. Math Prog 1:127–136

    Article  MATH  MathSciNet  Google Scholar 

  9. Estaji A, Hooshmandasl M, Davvaz B (2012) Rough set theory applied to lattice theory. Inf Sci 200:108–122

    Article  MATH  MathSciNet  Google Scholar 

  10. Ghanim M, Mustafa H, Aziz S (2011) On lower and upper intension order relations by different cover concepts. Inf Sci 181:3723–3734

    Article  MATH  Google Scholar 

  11. Gratzer G (1978) General lattice theory. Academic Press, New York

  12. Gratzer G (1971) Lattice theory: first concepts and distributive lattices. W. H. Freeman and Company, San Francisco

  13. Inuiguchi M, Hirano S, Tsumoto S (eds) (2003) Rough set theory and granular computing. In: Studies in fuzziness and soft computing, vol 125. Springer, Heidelberg

  14. Lai H (2001) Matroid theory. Higher Education Press, Beijing

  15. Lashin E, Kozae A, Khadra A, Medhat T (2005) Rough set theory for topological spaces. Int J Approx Reason 40:35–43

    Article  MATH  Google Scholar 

  16. Lawler E (2001) Combinatorial optimization: networks and matroids. Dover Publications, New York

  17. Lin T, Yao Y, Zadeh L (eds) (2001) Rough sets, granular computing and data mining. In: Studies in fuzziness and soft computing. Physica, Heidelberg

  18. Liu G (2008) Generalized rough sets over fuzzy lattices. Inf Sci 178:1651–1662

    Article  MATH  Google Scholar 

  19. Pawlak Z (1982) Rough sets. Int J Comput Inf Sci 11:341–356

    Article  MATH  MathSciNet  Google Scholar 

  20. Pawlak Z (1991) Rough sets: theoretical aspects of reasoning about data. Kluwer Academic Publishers, Boston

  21. Pawlak Z, Skowron A (2007) Rough sets and boolean reasoning. Inf Sci 177:41–73

    Article  MATH  MathSciNet  Google Scholar 

  22. Pei D (2005) A generalized model of fuzzy rough sets. Int J General Syst 34:603–613

    Article  MATH  Google Scholar 

  23. Qi G, Liu W (2005) Rough operations on boolean algebras. Inf Sci 173:49–63

    MATH  MathSciNet  Google Scholar 

  24. Rouayheb S, Sprintson A, Georghiades C (2010) On the index coding problem and its relation to network coding and matroid theory. IEEE Trans Inf Theory 56:3187–3195

    Article  Google Scholar 

  25. Stern M (1999) Semimodular lattices: theory and applications. In: Encyclopedia of Mathematics and its Applications

  26. Wang S, Zhu P, Zhu W (2010) Structure of covering-based rough sets. Int J Math Comput Sci 6:147–150

    Google Scholar 

  27. Wang S, Zhu W, Min F (2011) Transversal and function matroidal structures of covering-based rough sets. Rough Sets Knowl Technol, pp 146–155

  28. Yang L, Xu L (2009) Algebraic aspects of generalized approximation spaces. Int J Approx Reason 51:151–161

    Article  MATH  Google Scholar 

  29. Yao Y (1998) Constructive and algebraic methods of theory of rough sets. Inf Sci 109:21–47

    MATH  Google Scholar 

  30. Zhu W (2007) Topological approaches to covering rough sets. Inf Sci 177:1499–1508

    Article  MATH  Google Scholar 

  31. Zhu W, Wang S (2011) Matroidal approaches to generalized rough sets based on relations. Int J Mach Learn Cybern 2:273–279

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported in part by the National Natural Science Foundation of China under Grant No. 61170128, the Natural Science Foundation of Fujian Province, China, under Grant Nos. 2011J01374 and 2012J01294, and the Science and Technology Key Project of Fujian Province, China, under Grant No. 2012H0043.

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Correspondence to William Zhu.

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Li, Q., Zhu, W. Closed-set lattice of regular sets based on a serial and transitive relation through matroids. Int. J. Mach. Learn. & Cyber. 5, 395–401 (2014). https://doi.org/10.1007/s13042-013-0176-2

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  • DOI: https://doi.org/10.1007/s13042-013-0176-2

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