Skip to main content

Perspectives, Synergies and Conclusion

  • Chapter
  • First Online:
Fuzziness in Information Systems
  • 580 Accesses

Abstract

Fuzziness can be found in many areas of daily life. Hence, fuzziness cannot be always expressed with one aspect and solved by one approach. It implies that different approaches should cooperate. In addition, many tasks, for example, in smaller businesses are not extremely demanding for complex tools, but rather they look for overviews of problems from different aspects. This short concluding chapter is focused on cooperation between fuzzy queries, summaries and inferences with respect to fuzzy and crisp data.

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 EPUB and 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
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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. Lim, L.K.: Mapping competitive prediction capability: construct conceptualization and performance payoffs. J. Bus. Res. 66, 1576–1586 (2013)

    Article  Google Scholar 

  2. Niewiadomski, A., Ochelska, J., Szczepaniak, P.S.: Interval-valued linguistic summaries of databases. Control Cybern. 35, 415–443 (2006)

    MATH  Google Scholar 

  3. Mousavi, S., Gigerenzer, G.: Risk, uncertainty, and heuristics. J. Bus. Res. 67, 1671–1678 (2014)

    Article  Google Scholar 

  4. Persson, A., Ryals, L.: Making customer relationship decisions: analytics vs rules of thumb. J. Bus. Res. 67, 1725–1732 (2014)

    Article  Google Scholar 

  5. Torres van Grinsven, V.: Motivation in business survey response behavior. Ph.D. thesis, University of Utrecht (2015)

    Google Scholar 

  6. Zadeh, L.A.: Soft computing and fuzzy logic. IEEE Softw. 11, 48–56 (1994)

    Article  Google Scholar 

  7. Zimmermann, H.J.: Fuzzy Set Theory—and its Applications. Kluwer Academic Publishers, London (2001)

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Miroslav Hudec .

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Hudec, M. (2016). Perspectives, Synergies and Conclusion. In: Fuzziness in Information Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-42518-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-42518-4_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42516-0

  • Online ISBN: 978-3-319-42518-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics