IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v126y2000i3p637-650.html
   My bibliography  Save this article

Resolution of fuzzy regression model

Author

Listed:
  • Wang, Hsiao-Fan
  • Tsaur, Ruey-Chyn

Abstract

No abstract is available for this item.

Suggested Citation

  • Wang, Hsiao-Fan & Tsaur, Ruey-Chyn, 2000. "Resolution of fuzzy regression model," European Journal of Operational Research, Elsevier, vol. 126(3), pages 637-650, November.
  • Handle: RePEc:eee:ejores:v:126:y:2000:i:3:p:637-650
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(99)00317-3
    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.

    Citations

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


    Cited by:

    1. Kemal Selçuk Öğüt, 2006. "Modeling Car Ownership in Turkey Using Fuzzy Regression," Transportation Planning and Technology, Taylor & Francis Journals, vol. 29(3), pages 233-248, March.
    2. Smimou, Kamal, 2006. "Estimation of Canadian commodity market risk premiums under price limits: Two-phase fuzzy approach," Omega, Elsevier, vol. 34(5), pages 477-491, October.
    3. Ali Azadeh & Mohammad Sheikhalishahi & Ali Boostani, 2014. "A Flexible Neuro-Fuzzy Approach for Improvement of Seasonal Housing Price Estimation in Uncertain and Non-Linear Environments," South African Journal of Economics, Economic Society of South Africa, vol. 82(4), pages 567-582, December.
    4. Azadeh, A. & Saberi, M. & Seraj, O., 2010. "An integrated fuzzy regression algorithm for energy consumption estimation with non-stationary data: A case study of Iran," Energy, Elsevier, vol. 35(6), pages 2351-2366.
    5. Wu, Hsien-Chung, 2003. "Fuzzy estimates of regression parameters in linear regression models for imprecise input and output data," Computational Statistics & Data Analysis, Elsevier, vol. 42(1-2), pages 203-217, February.
    6. Azadeh, A. & Khakestani, M. & Saberi, M., 2009. "A flexible fuzzy regression algorithm for forecasting oil consumption estimation," Energy Policy, Elsevier, vol. 37(12), pages 5567-5579, December.
    7. Azadeh, A. & Saberi, M. & Asadzadeh, S.M. & Khakestani, M., 2011. "A hybrid fuzzy mathematical programming-design of experiment framework for improvement of energy consumption estimation with small data sets and uncertainty: The cases of USA, Canada, Singapore, Pakis," Energy, Elsevier, vol. 36(12), pages 6981-6992.
    8. Zhou, Jian & Shen, Yixuan & Pantelous, Athanasios A. & Zhang, Hui, 2021. "The range of uncertainty on the property market pricing: The case of the city of Shanghai," Finance Research Letters, Elsevier, vol. 40(C).

    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:126:y:2000:i:3:p:637-650. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.