IDEAS home Printed from https://ideas.repec.org/a/fzy/fuzeco/vxviiy2012i2p43-58.html
   My bibliography  Save this article

Fuzzy Sets Application To Healthcare Systems

Author

Listed:
  • Lazzari, Luisa L.

    (CIMBAGE, IADCOM, School of Economics, University of Buenos Aires, Argentina)

  • Moulia, Patricia I.

    (CIMBAGE, IADCOM, School of Economics, University of Buenos Aires, Argentina)

Abstract

The fuzzy set concept was introduced by Lotfi A. Zadeh in 1965 to provide a tool to describe vague predicates or classes with imprecise boundaries and which enable an uncertainty nonadditive calculation, based on soft operators. Zadeh recognises that conventional quantitative techniques of systems analysis are intrinsically inappropriate to address humanistic systems. The medical field is appropriate to apply the fuzzy set theory, as vague predicates and subjectivity are an important part of it. In this paper, the fuzzy set concept is used to provide a more flexible definition of certain parameters which state an individual’s health condition, and which will allow to formulate a diagnosis model for the risk of suffering a certain disease, and it is characterized as a case of cardiovascular risk. This model is applied to the development of an expansion strategy for a private health insurance company, which considers sustainability of the healthcare system.

Suggested Citation

  • Lazzari, Luisa L. & Moulia, Patricia I., 2012. "Fuzzy Sets Application To Healthcare Systems," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(2), pages 43-58, November.
  • Handle: RePEc:fzy:fuzeco:v:xvii:y:2012:i:2:p:43-58
    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.

    Citations

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


    Cited by:

    1. Luca Anzilli & Silvio Giove, 2020. "Multi-criteria and medical diagnosis for application to health insurance systems: a general approach through non-additive measures," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(2), pages 559-582, December.

    More about this item

    Keywords

    fuzzy sets; health parameters; healthcare systems;
    All these keywords.

    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other
    • P46 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools

    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:fzy:fuzeco:v:xvii:y:2012:i:2:p:43-58. 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: Aurelio Fernandez (email available below). General contact details of provider: https://edirc.repec.org/data/sigefea.html .

    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.