IDEAS home Printed from https://ideas.repec.org/a/taf/jsustf/v13y2023i1p125-141.html
   My bibliography  Save this article

The optimal project selection in portfolio management using fuzzy multi-criteria decision-making methodology

Author

Listed:
  • Husam Jasim Mohammed

Abstract

The main purpose of the paper is to provide and apply the concept and techniques of multi-criteria decision-making under fuzzy environment in the prioritization and selection of projects in a portfolio management. In this study, the preference weights of the criteria were identified using fuzzy AHP. Then, the weights are embraced in fuzzy TOPSIS to improve the gaps of projects (alternatives) to achieve the organization objectives as well as interactions between projects. Twenty Iraqi Oil Company projects were evaluated against five key criteria. The results showed that in fuzzy TOPSIS technique the measurement of criteria weights is important and they could adjust the ranking for other projects as well as figure out the best project to achieve the desired levels. This research as expected will serve as a helpful tool for stakeholders in improving the quality level of portfolio management projects.

Suggested Citation

  • Husam Jasim Mohammed, 2023. "The optimal project selection in portfolio management using fuzzy multi-criteria decision-making methodology," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 13(1), pages 125-141, January.
    • Handle: RePEc:taf:jsustf:v:13:y:2023:i:1:p:125-141
    DOI: 10.1080/20430795.2021.1886551
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/20430795.2021.1886551
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/20430795.2021.1886551?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Dongmei Jing & Mohsen Imeni & Seyyed Ahmad Edalatpanah & Alhanouf Alburaikan & Hamiden Abd El-Wahed Khalifa, 2023. "Optimal Selection of Stock Portfolios Using Multi-Criteria Decision-Making Methods," Mathematics, MDPI, vol. 11(2), pages 1-21, January.

    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:taf:jsustf:v:13:y:2023:i:1:p:125-141. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TSFI20 .

    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.