Skip to main content

Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids

  • Conference paper
Book cover Modeling Decisions for Artificial Intelligence (MDAI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8234))

Abstract

This paper focuses on the two definitions of fuzzy multisets by Yager and Minamoto, respectively, and examines their difference in the framework of granular hierarchical structures generated from free monoids. Then we can conclude that, in order to define the basic order on the set of multisets on interval (0,1], the Yager definition adopts the one induced just from the range ℕ, the set of natural numbers, while the Miyamoto definition uses one generated from both the domain (0,1] and the range ℕ through the notion of cuts.

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. Blizard, W.D.: Multiset theory. Notre Dame Journal of Formal Logic 30, 36–66 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  2. Chan, C.-C.: Learning rules from very large databases using rough multisets. In: Peters, J.F., Skowron, A., Grzymała-Busse, J.W., Kostek, B.z., Swiniarski, R.W., Szczuka, M.S. (eds.) Transactions on Rough Sets I. LNCS, vol. 3100, pp. 59–77. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  3. Chen, Y.-K., Liao, H.-C.: An investigation on selection of simplified aggregate production planning strategies using MADM approaches. Int. J. of Production Research 41, 3359–3374 (2003)

    Article  MATH  Google Scholar 

  4. Girish, K.P., Sunil, J.J.: Rough multisets and information multisystems. In: Advances in Decision Sciences, vol.  2011 (2011)

    Google Scholar 

  5. Jena, S.P., Ghosh, S.K., Tripathy, B.K.: On the theory of bags and lists. Information Sciences 132, 241–254 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  6. Knuth, D.E.: The Art of Computer Programming, vol. 2. Addison-Wesley, Reading (1969)

    MATH  Google Scholar 

  7. Lamperti, G., Melchiori, M., Zanella, M.: On multisets in database systems. In: Calude, C.S., Pun, G., Rozenberg, G., Salomaa, A. (eds.) Multiset Processing. LNCS, vol. 2235, pp. 147–215. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  8. Li, B.: Fuzzy bags and applications. Fuzzy Sets and Systems 34, 61–71 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  9. Miyamoto, S.: Fuzzy multisets and fuzzy clustering of documents. In: Proc. of 10th IEEE Int. Conf. on Fuzzy Systems, pp. 1539–1542 (2001)

    Google Scholar 

  10. Miyamoto, S.: Generalizations of multisets and rough approximations. International Journal of Intelligent Systems 19, 639–652 (2004)

    Article  MATH  Google Scholar 

  11. Miyamoto, S.: Different generalizations of bags. Annals of Operations Research 195, 221–236 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  12. Murai, T., Miyamoto, S., Inuiguchi, M., Akama, S.: Granular Hierarchical Structures of Finite Naïve Subsets and Multisets. Int. J. Reasoning-based Intelligent Systems 4(3), 118–128 (2012)

    Article  Google Scholar 

  13. Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer, Dordrecht (1991)

    Book  MATH  Google Scholar 

  14. Rebaï, A., Martel, J.-M.: A fuzzy bag approach to choosing the “best” multiattributed potential actions in a multiple judgement and non cardinal data context. Fuzzy Sets and Systems 87, 159–166 (1997)

    Article  MathSciNet  Google Scholar 

  15. Rochester, D., Bosc, P.: The set of fuzzy relative integers and fuzzy bags. Int. J. of Intelligent Systems 24, 677–694 (2009)

    Article  Google Scholar 

  16. Singh, D., Ibrahim, A.M., Bello, A., Yohanna, T., Singh, J.N.: A systematization of fundamentals of multisets. Lecturas Matemáticas 29, 33–48 (2008)

    MATH  Google Scholar 

  17. Syropoulos, A.: Mathematics of multisets. In: Calude, C.S., Pun, G., Rozenberg, G., Salomaa, A. (eds.) Multiset Processing. LNCS, vol. 2235, pp. 347–358. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  18. Yager, R.R.: On the Theory of Bags. Int. J. General Systems 13, 23–37 (1986)

    Article  MathSciNet  Google Scholar 

  19. Zadeh, L.A.: Fuzzy Sets. Information and Control 8(3), 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Murai, T., Miyamoto, S., Inuiguchi, M., Kudo, Y., Akama, S. (2013). Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids. In: Torra, V., Narukawa, Y., Navarro-Arribas, G., Megías, D. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2013. Lecture Notes in Computer Science(), vol 8234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41550-0_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-41550-0_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41549-4

  • Online ISBN: 978-3-642-41550-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics