IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-319-03907-7_2.html
   My bibliography  Save this book chapter

Models Estimation of National Social and Human Capital Qualities

In: Decision Making and Knowledge Decision Support Systems

Author

Listed:
  • Gorkhmaz Imanov

    (Azerbaijan National Academy of Sciences)

  • Rovshan Akbarov

    (National Aviation Academy of Azerbaijan)

Abstract

Present paper studies models of the estimation qualities of national social and human capital. Input parameters of the social capital model are social-economic security, social cohesion, social inclusion and social empowerment. Model of the human capital describes by quality of education, health care, culture level of society, scientific and technical journal articles, innovations, patent applications field, labor productivity. Problem corresponding to the model is solved by proposed fuzzy method.

Suggested Citation

  • Gorkhmaz Imanov & Rovshan Akbarov, 2015. "Models Estimation of National Social and Human Capital Qualities," Lecture Notes in Economics and Mathematical Systems, in: Anna Maria Gil-Lafuente & Constantin Zopounidis (ed.), Decision Making and Knowledge Decision Support Systems, edition 127, pages 11-18, Springer.
    • Handle: RePEc:spr:lnechp:978-3-319-03907-7_2
    DOI: 10.1007/978-3-319-03907-7_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnechp:978-3-319-03907-7_2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.