IDEAS home Printed from https://ideas.repec.org/a/cmj/networ/y2014i4p153-160.html
   My bibliography  Save this article

Practical Aspects Of Quality Data Processing And A Rule –Based Expert System For Quality Of Life Evaluation

Author

Listed:
  • Irena L. ATANASOVA

    (South-West University “Neofit Rilski”, Faculty of Mathematics and Natural Sciences, Blagoevgrad, Bulgaria; Currently at Faculty of Economics and Administration, University of Pardubice, The Czech Republic)

Abstract

One of the most important challenges the European Union was facing at the beginning of the 21st century was to balance economic development with the improvement of quality of its citizens life. A new approach for assessing the quality of life using the ten-degree global scale is revealed in this article. The aptness of this approach to exploring the social area and determining the quality of life of people in different countries and regions are also discussed. There are being examined some practical aspects of setting up an expert system for social area.The article describes the implementation of such a system for evaluating the quality of life – QLIFEX. The expert system is an innovative research project based entirely on qualitative methods, which aims at helping in understanding of how in an era of great changes residents from different countries live and work in diverse economic organizations, and how they would rate their work and life.

Suggested Citation

  • Irena L. ATANASOVA, 2014. "Practical Aspects Of Quality Data Processing And A Rule –Based Expert System For Quality Of Life Evaluation," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 4, pages 153-160, November.
    • Handle: RePEc:cmj:networ:y:2014:i:4:p:153-160
    as

    Download full text from publisher

    File URL: http://seaopenresearch.eu/Journals/articles/NIS_4_3.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Irena Atanasova & Elena Karashtranova, 2016. "A Novel Approach for Quality of Life Evaluation: Rule-Based Expert System," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 709-722, September.

    More about this item

    Keywords

    Expert systems; Quality data; Quality of life; Social area;
    All these keywords.

    JEL classification:

    • H00 - Public Economics - - General - - - General
    • I00 - Health, Education, and Welfare - - General - - - General

    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:cmj:networ:y:2014:i:4:p:153-160. 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: Serghie Dan (email available below). General contact details of provider: https://seaopenresearch.eu/ .

    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.