Skip to main content

A View of f-indexes of Inclusion Under Different Axiomatic Definitions of Fuzzy Inclusion

  • Conference paper
  • First Online:
Scalable Uncertainty Management (SUM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10564))

Included in the following conference series:

Abstract

In this paper we analyze the novel constructive definition of f-index of inclusion with respect to four of the most common axiomatic definitions of inclusion measure, namely Sinha-Dougherty, Kitainik, Young and Fan-Xie-Pei. There exist an important difference between the f-index and these axiomatic definitions of inclusion measure: the f-index represents the inclusion in terms of a mapping in unit interval, whereas the inclusion measure represents such an inclusion as a value in the unit interval.

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 EPUB and 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

References

  1. Bandler, W., Kohout, L.: Fuzzy power sets and fuzzy implication operators. Fuzzy Sets Syst. 4(1), 13–30 (1980)

    Article  MathSciNet  MATH  Google Scholar 

  2. Burillo, P., Frago, N., Fuentes, R.: Inclusion grade and fuzzy implication operators. Fuzzy Sets Syst. 114(3), 417–429 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  3. Bustince, H., Madrid, N., Ojeda-Aciego, M.: The notion of weak-contradiction: definition and measures. IEEE Trans. Fuzzy Syst. 23(4), 1057–1069 (2015)

    Article  Google Scholar 

  4. Bustince, H., Mohedano, V., Barrenechea, E., Pagola, M.: Definition and construction of fuzzy DI-subsethood measures. Inf. Sci. 176(21), 3190–3231 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  5. Bustince, H., Pagola, M., Barrenechea, E.: Construction of fuzzy indices from fuzzy DI-subsethood measures: application to the global comparison of images. Inf. Sci. 177(3), 906–929 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  6. Cornelis, C., Van der Donck, C., Kerre, E.: Sinha-Dougherty approach to the fuzzification of set inclusion revisited. Fuzzy Sets Syst. 134(2), 283–295 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  7. De Baets, B., Meyer, H., Naessens, H.: A class of rational cardinality-based similarity measures. J. Comput. Appl. Math. 132(1), 51–69 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  8. De Baets, B., Meyer, H., Naessens, H.: On rational cardinality-based inclusion measures. Fuzzy Sets Syst. 128(2), 169–183 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  9. Deng, G., Jiang, Y., Fu, J.: Monotonic similarity measures between fuzzy sets and their relationship with entropy and inclusion measure. Fuzzy Sets Syst. 287, 97–118 (2016)

    Article  MathSciNet  Google Scholar 

  10. Esmi, E.L., Sussner, P.: A fuzzy associative memory based on Kosko’s subsethood measure. In: The 2010 International Joint Conference on Neural Networks (IJCNN), pp. 1–8 (2010)

    Google Scholar 

  11. Fan, J., Xie, W., Pei, J.: Subsethood measure: new definitions. Fuzzy Sets Syst. 106(2), 201–209 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  12. Fodor, J., Yager, R.R.: Fuzzy set-theoretic operators and quantifiers. In: Dubois, D., Prade, H. (eds.) Fundamentals of Fuzzy Sets. The Handbooks of Fuzzy Sets Series, vol. 7, pp. 125–193. Springer, Boston (2000). doi:10.1007/978-1-4615-4429-6_3

    Chapter  Google Scholar 

  13. Kitainik, L.M.: Fuzzy inclusions and fuzzy dichotomous decision procedures. In: Kacprzyk, J., Orlovski, S.A. (eds.) Optimization Models Using Fuzzy Sets and Possibility Theory. Theory and Decision Library. Series B: Mathematical and Statistical Methods, vol. 4, pp. 154–170. Springer, Dordrecht (1987). doi:10.1007/978-94-009-3869-4_11

    Chapter  Google Scholar 

  14. Kosko, B.: Fuzziness vs. probability. Int. J. Gen. Syst. 17(2–3), 211–240 (1990)

    Article  MATH  Google Scholar 

  15. Luca, A.D., Termini, S.: A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory. Inf. Control 20(4), 301–312 (1972)

    Article  MathSciNet  MATH  Google Scholar 

  16. Madrid, N., Ojeda-Aciego, M., Perfilieva, I.: f-inclusion indexes between fuzzy sets. In: Proceedings of IFSA-EUSFLAT (2015)

    Google Scholar 

  17. Scozzafava, R., Vantaggi, B.: Fuzzy inclusion and similarity through coherent conditional probability. Fuzzy Sets Syst. 160(3), 292–305 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  18. Sinha, D., Dougherty, E.R.: Fuzzification of set inclusion: theory and applications. Fuzzy Sets Syst. 55(1), 15–42 (1993)

    Article  MathSciNet  MATH  Google Scholar 

  19. Tsiporkova-Hristoskova, E., De Baets, B., Kerre, E.: A fuzzy inclusion based approach to upper inverse images under fuzzy multivalued mappings. Fuzzy Sets Syst. 85(1), 93–108 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  20. Young, V.R.: Fuzzy subsethood. Fuzzy Sets Syst. 77(3), 371–384 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  21. Zadeh, L.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nicolás Madrid .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Madrid, N., Ojeda-Aciego, M. (2017). A View of f-indexes of Inclusion Under Different Axiomatic Definitions of Fuzzy Inclusion. In: Moral, S., Pivert, O., Sánchez, D., Marín, N. (eds) Scalable Uncertainty Management. SUM 2017. Lecture Notes in Computer Science(), vol 10564. Springer, Cham. https://doi.org/10.1007/978-3-319-67582-4_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67582-4_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67581-7

  • Online ISBN: 978-3-319-67582-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics