Skip to main content

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 293))

  • 1448 Accesses

Abstract

In real-world problems, as a rule, perceptions are original sources of decision relevant information on environment and a DM’s behavior. Perception-based information is intrinsically imperfect and, as a result, is usually described in NL or in form of visual images. In this chapter we provide solutions of decision making problems with perception-based imperfect information by applying decision theories suggested in the previous chapters. The considered decision making problems include benchmark problems and real-world decision problems in the areas of business, economics, production and medicine. The NL-based and visual imperfect information in these problems makes the use of the existing decision theories inapplicable to solve them.

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
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aliev, R.A., Aliyev, B.F., Gardashova, L.A., Huseynov, O.H.: Selection of an Optimal Treatment Method for Acute Periodontitis Disease. Journal of Medical Systems 36(2), 639–646 (2012)

    Article  Google Scholar 

  2. Aliev, R.A.: Decision Making Theory with Imprecise Probabilities. In: Proceedings of the Fifth International Conference on Soft Computing and Computing with Words in System Analysis, Decision and Control (ICSCCW 2009), p. 1 (2009)

    Google Scholar 

  3. Aliev, R.A., Krivosheev, V.P., Liberzon, M.I.: Optimal decision coordination in hierarchical systems. News of Academy of Sciences of USSR, Tech. Cybernetics 2, 72–79 (1982) (in English and Russian)

    Google Scholar 

  4. Aliev, R.A., Liberzon, M.I.: Coordination methods and algorithms for integrated manufacturing systems, p. 208. Radio I svyaz, Moscow (1987) (in Russian)

    Google Scholar 

  5. Aliev, R.A., Pedrycz, W., Fazlollahi, B., Huseynov, O.H., Alizadeh, A.V., Guirimov, B.G.: Fuzzy logic-based generalized decision theory with imperfect information. Information Sciences 189, 18–42 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  6. Aliev, R.A., Pedrycz, W., Huseynov, O.H.: Decision theory with imprecise probabilities. International Journal of Information Technology & Decision Making 11(2), 271–306 (2012), doi:10.1142/S0219622012400032

    Article  Google Scholar 

  7. Alizadeh, A.V., Aliev, R.R., Aliyev, R.A.: Operational Approach to Z-information-based decision making. In: Proceedings of the Tenth International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS 2012), pp. 269–277 (2012)

    Google Scholar 

  8. Bede, B., Gal, S.G.: Generalizations of the differentiability of fuzzy-number-valued functions with applications to fuzzy differential equations. Fuzzy Sets and Systems 151, 581–599 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  9. Diamond, P., Kloeden, P.: Metric spaces of fuzzy sets. Theory and applications. World Scientific, Singapoure (1994)

    MATH  Google Scholar 

  10. Farina, M., Amato, P.: A fuzzy definition of “optimality” for many-criteria decision-making and optimization problems. Submitted to IEEE Trans. on Sys. Man and Cybern. (2002)

    Google Scholar 

  11. Gurbanov, R.S., Gardashova, L.A., Huseynov, O.H., Aliyeva, K.R.: Operational Approach to Z-information-based decision making. In: Proceedings of the Tenth International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS 2012), pp. 161–174 (2012)

    Google Scholar 

  12. Musayev, A.F., Alizadeh, A.V., Guirimov, B.G., Huseynov, O.H.: Computational framework for the method of decision making with imprecise probabilities. In: Proceedings of the Fifth International Conference on Soft Computing and Computing with Words in System Analysis, Decision and Control, ICSCCW, Famagusta, North Cyprus, pp. 287–290 (2009)

    Google Scholar 

  13. Setnes, M.: Compatibility-Based Ranking of Fuzzy numbers. In: Annual Meeting of the North American Fuzzy Information. Processing Society (NAFIPS 1997), pp. 305–310 (1997)

    Google Scholar 

  14. Vahdani, B., Zandieh, M.: Selecting suppliers using a new fuzzy multiple criteria decision model: the fuzzy balancing and ranking method. International Journal of Production Research 48(18), 5307–5326 (2010)

    Article  MATH  Google Scholar 

  15. Zadeh, L.A., Aliev, R.A., Fazlollahi, B., Alizadeh, A.V., Guirimov, B.G., Huseynov, O.H.: Decision Theory with Imprecise Probabilities. In: Contract on Application of Fuzzy Logic and Soft Computing to Communications, Planning and Management of Uncertainty, Berkeley, Baku, p. 95 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rafik Aziz Aliev .

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Aliev, R.A. (2013). Experiments and Applications. In: Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions. Studies in Fuzziness and Soft Computing, vol 293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34895-2_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34895-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34894-5

  • Online ISBN: 978-3-642-34895-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics