Skip to main content

Interval-Valued Fuzzy Preference Relations and Their Properties

  • Conference paper
  • 1510 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 322))

Abstract

In the paper properties of interval-valued fuzzy preference relations are considered and preservation of a preference property by some operations, including lattice operations, the converse and the complement relations are studied. The concept of a preference relation presented here is a generalization of the concept of crisp preference relations. Moreover, weak properties of interval-valued fuzzy relations, namely reflexivity, irreflexivity, connectedness, asymmetry, antisymmetry, transitivity, and moderate transitivity are defined. Furthermore, the assumptions under which interval-valued fuzzy preference relations fulfil the mentioned properties are proposed.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barrenechea, E., Bustince, H., De Baets, B., Lopez-Molina, C.: Construction of interval-valued fuzzy relations with application to the generation of fuzzy edge images. IEEE Transactions on Fuzzy Systems 19(5), 819–830 (2011)

    Article  Google Scholar 

  2. Bentkowska, U., Bustince, H., Pękala, B.: Some properties of interval-valued fuzzy relations. Fuzzy Sets and Systems (submitted

    Google Scholar 

  3. Birkhoff, G.: Lattice Theory. AMS Coll. Publ. 25, Providence (1967)

    Google Scholar 

  4. Bodenhofer, U.: Representations and constructions of similarity-based fuzzy orderings. Fuzzy Sets and Systems 137, 113–136 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  5. Bodenhofer, U., De Baets, B., Fodor, J.: A compendium of fuzzy weak orders: Representations and constructions. Fuzzy Sets and Systems 158, 811–829 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  6. Bustince, H., Burillo, P.: Structures on intuitionistic fuzzy relations. Fuzzy Sets and Systems 78, 293–303 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  7. Bustince, H., Burillo, P.: Mathematical Analysis of Interval-Valued Fuzzy Relations: Application to Approximate Reasoning. Fuzzy Sets and Systems 113, 205–219 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  8. Bustince, H., Barrenechea, E., Pagola, M., Fernandez, J.: Interval-valued fuzzy sets constructed from matrices: application to edge detection. Fuzzy Sets and Systems 160(13), 1819–1840 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  9. Chen, H., Zhou, L.: An approach to group decision making with interval fuzzy preference relations based on induced generalized continuous ordered weighted averaging operator. Expert Systems with Applications 38, 13432–13440 (2011)

    Article  Google Scholar 

  10. Chen, N., Xu, Z., Xia, M.: Interval-valued hesitant preference relations and their applications to group decision making. Knowledge-Based Systems 37, 528–540 (2013)

    Article  MathSciNet  Google Scholar 

  11. Chiclana, F., Herrera-Viedma, E., Alonso, S., Pereira, R.A.M.: Preferences and consistency issues in group decision making. In: Bustince, H., et al. (eds.) Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. STUDFUZZ, vol. 220, pp. 219–237. Springer, Berlin (2008)

    Google Scholar 

  12. Drewniak, J.: Fuzzy Relation Calculus. Silesian University, Katowice (1989)

    MATH  Google Scholar 

  13. Dubois, D.: The role of fuzzy sets in decision sciences: Old techniques and new directions. Fuzzy Sets and Systems 184(1), 3–28 (2011)

    Article  MATH  MathSciNet  Google Scholar 

  14. Genç, S., Boran, F.E., Akay, D., Xu, Z.: Interval multiplicative transitivity for consistency, missing values and priority weights of interval fuzzy preference relations. Information Sciences 180, 4877–4891 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  15. Goguen, A.: L-fuzzy sets. Journal of Mathematical Analysis and Applications 18, 145–174 (1967)

    Article  MATH  MathSciNet  Google Scholar 

  16. Liu, F.: Acceptable consistency analysis of interval reciprocal comparison matrices. Fuzzy Sets and Systems 160, 2686–2700 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  17. Pękala, B.: Operations on Interval Matrices. In: Kryszkiewicz, M., Peters, J.F., Rybiński, H., Skowron, A. (eds.) RSEISP 2007. LNCS (LNAI), vol. 4585, pp. 613–621. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  18. Pękala, B.: Properties of Interval-Valued Fuzzy Relations and Atanassovs Operators. In: Atanassov, K.T., et al. (eds.) Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and related Topics, vol, vol. 1, pp. 153–166. EXIT, Warszawa (2010)

    Google Scholar 

  19. Sambuc, R.: Fonctions φ-floues: Application á l’aide au diagnostic en pathologie thyroidienne. Ph.D. Thesis. Université de Marseille, France (1975) (in French)

    Google Scholar 

  20. Sanz, J., Fernandez, A., Bustince, H., Herrera, F.: Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning. Information Sciences 180(19), 3674–3685 (2010)

    Article  Google Scholar 

  21. Sanz, J., Fernandez, A., Bustince, H., Herrera, F.: A genetic tuning to improve the performance of fuzzy rule-based classification systems with intervalvalued fuzzy sets: degree of ignorance and lateral position. International Journal of Approximate Reasoning 52(6), 751–766 (2011)

    Article  Google Scholar 

  22. Wang, Z.-J., Li, K.W.: Goal programming approaches to deriving interval weights based on interval fuzzy preference relations. Information Sciences 193, 180–198 (2012)

    Article  MATH  MathSciNet  Google Scholar 

  23. Xu, Z.: Consistency of interval fuzzy preference relations in group decision making. Applied Soft Computing 11, 3898–3909 (2011)

    Article  Google Scholar 

  24. Yager, R.R., Xu, Z.: Intuitionistic and interval-valued intuitionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group. Fuzzy Optimization and Decision Making 8, 123–139 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  25. Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

  26. Zadeh, L.A.: Similarity relations and fuzzy orderings. Information Sciences 3, 177–200 (1971)

    Article  MATH  MathSciNet  Google Scholar 

  27. Zadeh, L.A.: The Concept of a Linguistic Variable and its Application to Approximate Reasoning-I. Information Sciences 8, 199–249 (1975)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Urszula Bentkowska .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Bentkowska, U. (2015). Interval-Valued Fuzzy Preference Relations and Their Properties. In: Angelov, P., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-11313-5_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11313-5_31

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11312-8

  • Online ISBN: 978-3-319-11313-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics