IDEAS home Printed from https://ideas.repec.org/a/taf/tjorxx/v71y2020i2p322-334.html
   My bibliography  Save this article

An extended TODIM method to rank products with online reviews under intuitionistic fuzzy environment

Author

Listed:
  • Dong Zhang
  • Yongli Li
  • Chong Wu

Abstract

Recently, in order to help consumers make decisions, ranking products with online reviews has become an interesting topic. However, literatures concerning this topic are really scare. Therefore, the paper proposes an extended TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) method to rank products through online reviews. To begin with, the IF (intuitionistic fuzzy) based sentiment word framework and corresponding computation rules are constructed, where intuitionistic fuzzy set (IFS) is used to describe sentiment orientations and emotional intensity. Next, both frequency and attention degree of each feature are considered in calculating the feature weight. In addition, two-additive fuzzy measure, nonlinear programming, and Choquet integral are fully utilized to deal with positive, mutual independent, and negative criteria interactions. Finally, we use a case study to illustrate the proposed method and the results show that the proposed method can be effectively used to rank products through online reviews.

Suggested Citation

  • Dong Zhang & Yongli Li & Chong Wu, 2020. "An extended TODIM method to rank products with online reviews under intuitionistic fuzzy environment," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(2), pages 322-334, February.
    • Handle: RePEc:taf:tjorxx:v:71:y:2020:i:2:p:322-334
    DOI: 10.1080/01605682.2018.1545519
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01605682.2018.1545519
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01605682.2018.1545519?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. Sumin Yu & Xiaoting Zhang & Zhijiao Du & Yanyan Chen, 2023. "A New Multi-Attribute Decision Making Method for Overvalued Star Ratings Adjustment and Its Application in New Energy Vehicle Selection," Mathematics, MDPI, vol. 11(9), pages 1-32, April.
    2. Heidary Dahooie, Jalil & Raafat, Romina & Qorbani, Ali Reza & Daim, Tugrul, 2021. "An intuitionistic fuzzy data-driven product ranking model using sentiment analysis and multi-criteria decision-making," Technological Forecasting and Social Change, Elsevier, vol. 173(C).

    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:tjorxx:v:71:y:2020:i:2:p:322-334. 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/tjor .

    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.