IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v34y2020i2p203-223.html
   My bibliography  Save this article

Comparison of AHP-TOPSIS and AHP-AHP methods in multi-criteria decision-making problems

Author

Listed:
  • Deepak Sharma
  • Srinivasan Sridhar
  • David Claudio

Abstract

Decision-making is a highly researched topic and various methods have been developed to facilitate a decision-maker (DM) in choosing the best alternative. Saaty's analytic hierarchy process (AHP) has been very popular since 1977 and has been adapted all over the world. However, AHP is a highly-debated topic. Technique for order of preference by similarity to ideal solution (TOPSIS) is another multi-criteria decision-making (MCDM) method developed by Hwang and Yoon in 1981 as a ranking method. This research is focused on identifying which is the MCDM method between AHP and TOPSIS. Since TOPSIS is a ranking method, the authors propose to combine AHP and TOPSIS methods and determine which method's ranking (AHP, AHP-TOPSIS combination, and TOPSIS with equal weights) aligns more closely with the DM's initial preference. Moreover, this research states the efficiency of the method by comparing the time it takes to make a decision and its reliability.

Suggested Citation

  • Deepak Sharma & Srinivasan Sridhar & David Claudio, 2020. "Comparison of AHP-TOPSIS and AHP-AHP methods in multi-criteria decision-making problems," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 34(2), pages 203-223.
  • Handle: RePEc:ids:ijisen:v:34:y:2020:i:2:p:203-223
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=105291
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Mehdi Rajabi Asadabadi & Hadi Badri Ahmadi & Himanshu Gupta & James J. H. Liou, 2023. "Supplier selection to support environmental sustainability: the stratified BWM TOPSIS method," Annals of Operations Research, Springer, vol. 322(1), pages 321-344, March.

    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:ids:ijisen:v:34:y:2020:i:2:p:203-223. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=188 .

    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.