IDEAS home Printed from https://ideas.repec.org/a/taf/reroxx/v29y2016i1p857-887.html
   My bibliography  Save this article

Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues

Author

Listed:
  • Edmundas Kazimieras Zavadskas
  • Kannan Govindan
  • Jurgita Antucheviciene
  • Zenonas Turskis

Abstract

Formal decision-making methods can be used to help improve the overall sustainability of industries and organisations. Recently, there has been a great proliferation of works aggregating sustainability criteria by using diverse multiple criteria decision-making (MCDM) techniques. A number of review papers summarising these techniques have been published. During the past few years, new approaches for hybrid MCDM (HMCDM) methods have been developed, but they have not yet been completely reviewed. This article aims to fill this gap and to summarise publications related to the application of HMCDM. The current study is limited solely to papers available in the Thomson Reuters Web of Science Core Collection database. The main findings report that HMCDM methods have been increasingly applied for supporting decisions in different domains of sustainability. The most frequently used methods emphasise the advantages of hybrid approaches over individual methods, and we conclude that they can assist decision-makers in handling information such as stakeholders’ preferences, interconnected or contradictory criteria, and uncertain environments. The main contribution of this work is identifying hybrid approaches as improvements for decision-making related to sustainability issues, while also promoting future application of the approaches.

Suggested Citation

  • Edmundas Kazimieras Zavadskas & Kannan Govindan & Jurgita Antucheviciene & Zenonas Turskis, 2016. "Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 29(1), pages 857-887, January.
    • Handle: RePEc:taf:reroxx:v:29:y:2016:i:1:p:857-887
    DOI: 10.1080/1331677X.2016.1237302
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1331677X.2016.1237302
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1331677X.2016.1237302?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. Guangzhong Hu & Yuming Liu & Kai Liu & Xiaoxu Yang, 2023. "Research on Data-Driven Dynamic Decision-Making Mechanism of Mega Infrastructure Project Construction," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    2. Andrzej Pacana & Dominika Siwiec & Jacek Pacana, 2023. "Fuzzy Method to Improve Products and Processes Considering the Approach of Sustainable Development (FQE-SD Method)," Sustainability, MDPI, vol. 15(13), pages 1-22, June.

    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:reroxx:v:29:y:2016:i:1:p:857-887. 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/rero .

    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.