Discrete-time hybrid processes and discounted total expected values | Fuzzy Optimization and Decision Making Skip to main content
Log in

Discrete-time hybrid processes and discounted total expected values

  • Published:
Fuzzy Optimization and Decision Making Aims and scope Submit manuscript

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Abstract

A Markov-type hybrid process with discrete parameters is constructed from credibilistic kernels and stochastic kernels. To evaluate a hybrid reward process, a discounted total expected value is defined, which is characterized as a fixed point of the corresponding operator. Also, examples are given.

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

Access this article

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Doob J. L. (1953) Stochastic processes. Wiley, New York

    MATH  Google Scholar 

  • Huang X. (2006) Credibility-based chance-constrained integer programming models for capital budgeting with fuzzy parameters. Information Sciences 176: 2698–2713

    Article  MathSciNet  MATH  Google Scholar 

  • Huang X. (2006) Fuzzy chance-constrained portfolio selection. Applied Mathematics and Computation 177(2): 500–507

    Article  MathSciNet  MATH  Google Scholar 

  • Kageyama M. (2009) Credibilistic Markov decision processes: The average case. Journal of Computational and Applied Mathematics 224: 140–145

    Article  MathSciNet  MATH  Google Scholar 

  • Kageyama M., Iwamura K. (2009) Discrete time credibilistic processes: Construction and convergences. Information Sciences 179: 4277–4283

    Article  MathSciNet  MATH  Google Scholar 

  • Li X., Liu B. (2009) Chance measure for hybrid events with fuzziness and randomness. Soft Computing 13(2): 105–115

    Article  Google Scholar 

  • Liu B. (2007) Uncertain theory (2nd ed.). Springer, Berlin

    Google Scholar 

  • Liu, B. (2009). Uncertain theory (3rd ed.) UTLAB

  • Neveu J. (1965) Mathematical foundations of the calculus of probability. Holden-Day, San- Francisco

    MATH  Google Scholar 

  • Royden H. L. (1968) Real analysis (2nd ed.). Macmillan, New York

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Masayuki Kageyama.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kageyama, M., Yang, B. & Hou, P. Discrete-time hybrid processes and discounted total expected values. Fuzzy Optim Decis Making 10, 341–355 (2011). https://doi.org/10.1007/s10700-011-9109-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10700-011-9109-2

Keywords

Navigation