Skip to main content

Compatible and Complementary Fuzzy Partitions

  • Conference paper
Advances in Data Science and Classification

Abstract

Fuzzy partitions with large (small) coefficients at the same locations are considered to be compatible. We investigate to what extent two or more fuzzy partitions are compatible and to what extent two fuzzy partitions are complementary. Linguistic expressions large and small are defined by comparison with a threshold α ∈ (0, 1). We discuss how to find α at which two or more fuzzy partitions are compatible and how to find α at which two fuzzy partitions are complementary. Then we explain how α-compatibility and α-complementarity can be used in decision making.

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Bezdek, J. C. (1981). Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York. Bodjanova, S. (1997). Aggregation Operations on Fuzzy Partitions, in: IFSA’97 Proceedings, Mares et al. (Eds.), Academia, Prague, 181–186.

    Google Scholar 

  • Bodjanova, S. (1997). Aggregation Operations on Fuzzy Partitions, in: IFSA’97 Proceedings, Mares et al. (Eds.), Academia, Prague, 181–186.

    Google Scholar 

  • Klir, J. G. & Youan, B. (1995). Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice Hall, Englewood Cliffs.

    Google Scholar 

  • Miyamoto, S. (1990). Fuzzy Set in Information Retrieval and Cluster Analysis, Kluwer, Dordrecht.

    Google Scholar 

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

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin · Heidelberg

About this paper

Cite this paper

Bodjanova, S. (1998). Compatible and Complementary Fuzzy Partitions. In: Rizzi, A., Vichi, M., Bock, HH. (eds) Advances in Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72253-0_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-72253-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64641-9

  • Online ISBN: 978-3-642-72253-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics