IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v146y2003i1p101-114.html
   My bibliography  Save this article

The fuzzy estimators of fuzzy parameters based on fuzzy random variables

Author

Listed:
  • Wu, Hsien-Chung

Abstract

No abstract is available for this item.

Suggested Citation

  • Wu, Hsien-Chung, 2003. "The fuzzy estimators of fuzzy parameters based on fuzzy random variables," European Journal of Operational Research, Elsevier, vol. 146(1), pages 101-114, April.
  • Handle: RePEc:eee:ejores:v:146:y:2003:i:1:p:101-114
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(02)00140-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gil, M. A. & Corral, N. & Gil, P., 1985. "The fuzzy decision problem: An approach to the point estimation problem with fuzzy information," European Journal of Operational Research, Elsevier, vol. 22(1), pages 26-34, October.
    2. Dubois, Didier & Prade, Henri, 1986. "Fuzzy sets and statistical data," European Journal of Operational Research, Elsevier, vol. 25(3), pages 345-356.
    3. Casals, M. R. & Gil, M. A. & Gil, P., 1986. "The fuzzy decision problem: An approach to the problem of testing statistical hypotheses with fuzzy information," European Journal of Operational Research, Elsevier, vol. 27(3), pages 371-382, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shvedov, Alexey, 2016. "Estimating the means and the covariances of fuzzy random variables," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 42, pages 121-138.
    2. Zmeskal, Zdenek, 2005. "Value at risk methodology of international index portfolio under soft conditions (fuzzy-stochastic approach)," International Review of Financial Analysis, Elsevier, vol. 14(2), pages 263-275.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dubois, Didier, 2006. "Possibility theory and statistical reasoning," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 47-69, November.
    2. Ortega, Neli R.S. & Massad, Eduardo & Struchiner, Cláudio José, 2008. "A Bayesian approach to fuzzy hypotheses testing for the estimation of optimal age for vaccination against measles," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(1), pages 1-13.
    3. Ertugrul Karsak, E. & Tolga, Ethem, 2001. "Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments," International Journal of Production Economics, Elsevier, vol. 69(1), pages 49-64, January.
    4. Petrovic, Dobrila, 2001. "Simulation of supply chain behaviour and performance in an uncertain environment," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 429-438, May.
    5. Gil, Maria Angeles & Lopez-Diaz, Miguel & Lopez-Garcia, Hortensia, 1998. "The fuzzy hyperbolic inequality index associated with fuzzy random variables," European Journal of Operational Research, Elsevier, vol. 110(2), pages 377-391, October.
    6. SakallI, Ümit Sami & Baykoç, Ömer Faruk, 2011. "An optimization approach for brass casting blending problem under aletory and epistemic uncertainties," International Journal of Production Economics, Elsevier, vol. 133(2), pages 708-718, October.
    7. Petrovic, Dobrila & Petrovic, Radivoj & Vujosevic, Mirko, 1996. "Fuzzy models for the newsboy problem," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 435-441, August.
    8. Munda, G. & Nijkamp, P. & Rietveld, P., 1995. "Qualitative multicriteria methods for fuzzy evaluation problems: An illustration of economic-ecological evaluation," European Journal of Operational Research, Elsevier, vol. 82(1), pages 79-97, April.
    9. Petrovic, Dobrila & Roy, Rajat & Petrovic, Radivoj, 1998. "Modelling and simulation of a supply chain in an uncertain environment," European Journal of Operational Research, Elsevier, vol. 109(2), pages 299-309, September.
    10. Xie, Ying & Petrovic, Dobrila & Burnham, Keith, 2006. "A heuristic procedure for the two-level control of serial supply chains under fuzzy customer demand," International Journal of Production Economics, Elsevier, vol. 102(1), pages 37-50, July.
    11. P. Pandian & D. Kalpanapriya, 2013. "Tests of Statistical Hypotheses with Respect to a Fuzzy Set," Modern Applied Science, Canadian Center of Science and Education, vol. 8(1), pages 1-25, February.
    12. Triantis, Konstantinos & Sarangi, Sudipta & Kuchta, Dorota, 2003. "Fuzzy pair-wise dominance and fuzzy indices: An evaluation of productive performance," European Journal of Operational Research, Elsevier, vol. 144(2), pages 412-428, January.
    13. Abbas Parchami & S. Mahmoud Taheri & Reinhard Viertl & Mashaallah Mashinchi, 2018. "Minimax test for fuzzy hypotheses," Statistical Papers, Springer, vol. 59(4), pages 1623-1648, December.
    14. Li, Y.P. & Huang, G.H. & Guo, P. & Yang, Z.F. & Nie, S.L., 2010. "A dual-interval vertex analysis method and its application to environmental decision making under uncertainty," European Journal of Operational Research, Elsevier, vol. 200(2), pages 536-550, January.
    15. Petrovic, Dobrila & Roy, Rajat & Petrovic, Radivoj, 1999. "Supply chain modelling using fuzzy sets," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 443-453, March.
    16. Zhang, Y.M. & Lu, H.W. & Nie, X.H. & He, L. & Du, P., 2014. "An interactive inexact fuzzy bounded programming approach for agricultural water quality management," Agricultural Water Management, Elsevier, vol. 133(C), pages 104-111.
    17. Luiz Gomes & Maria Machado & Luis Rangel, 2013. "Behavioral multi-criteria decision analysis: the TODIM method with criteria interactions," Annals of Operations Research, Springer, vol. 211(1), pages 531-548, December.
    18. Maria Gil, 1988. "On the loss of information due to fuzziness in experimental observations," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 40(4), pages 627-639, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:146:y:2003:i:1:p:101-114. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.