Skip to main content

Properties and Algorithms for Fuzzy Geometric Programming

  • Conference paper

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 147))

Abstract

Fuzzy reverse posynomial geometric programming, on the basis of previous work, is studied in the properties and algorithms with two algorithms advanced in this paper: a direct algorithm and a dual algorithm. Meanwhile, its optimal solution is proposed, and an improved imagination is proposed to the direct algorithm.

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. Cao, B.Y.: Solution and theory of questions for a kind of fuzzy positive geometric program. In: Proc. of 2nd IFSA Congress, Tokyo, vol. 1, pp. 205–208 (1987)

    Google Scholar 

  2. Cao, B.Y.: Study of fuzzy positive geometric programming dual form. In: Proc. of 3rd IFSA Congress, Seattle, pp. 775–778 (1989)

    Google Scholar 

  3. Cao, B.Y.: Fuzzy geometric programming (I). Fuzzy Sets and Systems 53, 135–154 (1993)

    Article  MathSciNet  MATH  Google Scholar 

  4. Asai, K.: An introduction to the theory of fuzzy systems. Peking Norm. University Press, Peking (1982)

    Google Scholar 

  5. Cao, B.Y.: Extended fuzzy geometric programming. J. of Mathematics(USA) 2, 285–293 (1993)

    Google Scholar 

  6. Cao, B.Y.: Fuzzy strong dual results for fuzzy posynomial geometric programming. In: Proc. of 3rd IFSA Congress, Seoul, vol. 1, pp. 588–591 (1995)

    Google Scholar 

  7. Cao, B.Y.: Posynomial geometric programming with L-R fuzzy coefficients. Fuzzy Sets and Systerns 67, 267–276 (1994)

    Article  MATH  Google Scholar 

  8. Cao, B.Y.: Further study of posynomial geometric programming with fuzzy coefficients. Mathematics Applicata 5(4), 119–120 (1992)

    Google Scholar 

  9. Cao, B.Y.: The study of geometric programming with (·, c)-fuzzy parameters. J. of Changsha, Univ. of Electric Power (Natural Sci. Ed.) 1, 15–21 (1995)

    Google Scholar 

  10. Cao, B.Y.: Study for a kind of regression forecasting model with fuzzy da-tums. J. of Mathematical Statistics and Applied Probability 4(2), 182–189 (1989)

    Google Scholar 

  11. Cao, B.Y.: Fuzzy geometric programming. Kluwer Academic Publishers (2002)

    Google Scholar 

  12. Cao, B.Y.: Study on non-distinct self-regression forecast model. Chinese Sci. Bull. 35(13), 1057–1062 (1990); (also to see Kexue Tong-bao, 34(17), 1291–1294 (1989))

    Google Scholar 

  13. Cao, B.Y.: New model with T-fuzzy variations in linear programming. Fuzzy Sets and Systems 78, 289–292 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  14. Cao, B.Y.: Research for a geometric programming model with T-fuzzy variable. J. of Fuzzy Mathematics 5(3), 625–632 (1997)

    MATH  Google Scholar 

  15. Verma, R.K.: Fuzzy geometric programming with several objective function. Fuzzy Sets and Systems 35, 115–120 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  16. Cao, B.Y.: Types of non-distinct multiobjective geometric programming. Hunan Annals of Mathematics 15(1), 99–106 (1995)

    MathSciNet  Google Scholar 

  17. Wu, F., Yuan, Y.Y.: Geometric programming. Math. in Practice and Theory, 1–2 (1982)

    Google Scholar 

  18. Tanaka, H., et al.: On fuzzy mathomatical programming. J. Cybern. 3 (4), 37–46 (1973)

    Google Scholar 

  19. Cao, B.Y.: Fuzzy geometric programming optimum seeking of scheme for waste-water disposal in power plant. In: Proc. of FUZZ-IEEE/IFES 1995, pp. 793–798 (1995)

    Google Scholar 

  20. Yu, Y.Y., Cao, B.Y., et al.: The application of geometric and fuzzy geometric programming in option of economic supply radius of transformer substation. In: Proc. of the ICIK 1995, pp. 245–249 (1995)

    Google Scholar 

  21. Wilde, D.J., Beightler, C.S.: Foundations of optimization, pp. 76–109. Prentice Hall Co. Inc., Englewood Cliffs (1967)

    MATH  Google Scholar 

  22. Cao, B.Y.: Optimal models and methods with fuzzy quantity. Springer, Heidelberg (2010)

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cao, By. (2012). Properties and Algorithms for Fuzzy Geometric Programming. In: Cao, BY., Xie, XJ. (eds) Fuzzy Engineering and Operations Research. Advances in Intelligent and Soft Computing, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28592-9_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28592-9_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28591-2

  • Online ISBN: 978-3-642-28592-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics