IDEAS home Printed from https://ideas.repec.org/a/igg/jrqeh0/v2y2013i4p14-27.html
   My bibliography  Save this article

An Intelligent Decision Support System (IDSS) for Nutrition Therapy: Infrastructure, Decision Support, and Knowledge Management Design

Author

Listed:
  • Ali Fahmi

    (University of Tabriz, Tabriz, Iran)

  • Amin Dorostanian

    (University of Tabriz, Tabriz, Iran)

  • Hassan Rezazadeh

    (University of Tabriz, Tabriz, Iran)

  • Alireza Ostadrahimi

    (Tabriz University of Medical Sciences, Tabriz, Iran)

Abstract

In this paper, the authors have presented an expert system to support decision makers in nutrition therapy planning. This system is an extended version of a fuzzy decision support system for nutrition therapy. The presented expert system is equipped with an updated knowledge base component by using a set of rules. Also in order to deal with vagueness and uncertainty, fuzzy set theory could provide a suitable framework for data management, modelling and decision support. Therefore, fuzzy rules empower this system to be implemented more realistically. In addition, for developing knowledge management component, artificial neural network (ANN) is applied to survey the input data and information in the long term. The integration of ANN with the expert system provides the possibility for a set of novel rules to be generated and consequently adds new knowledge to the system.

Suggested Citation

  • Ali Fahmi & Amin Dorostanian & Hassan Rezazadeh & Alireza Ostadrahimi, 2013. "An Intelligent Decision Support System (IDSS) for Nutrition Therapy: Infrastructure, Decision Support, and Knowledge Management Design," International Journal of Reliable and Quality E-Healthcare (IJRQEH), IGI Global, vol. 2(4), pages 14-27, October.
    • Handle: RePEc:igg:jrqeh0:v:2:y:2013:i:4:p:14-27
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijrqeh.2013100102
    Download Restriction: no
    ---><---

    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:igg:jrqeh0:v:2:y:2013:i:4:p:14-27. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.