Informatica logo


Login Register

  1. Home
  2. Issues
  3. Volume 25, Issue 2 (2014)
  4. Comparative Analysis of Normalization Pr ...

Informatica

Information Submit your article For Referees Help ATTENTION!
  • Article info
  • Related articles
  • Cited by
  • More
    Article info Related articles Cited by

Comparative Analysis of Normalization Procedures in TOPSIS Method: With an Application to Turkish Deposit Banking Market
Volume 25, Issue 2 (2014), pp. 185–208
Aydın Çelen  

Authors

 
Placeholder
https://doi.org/10.15388/Informatica.2014.10
Pub. online: 1 January 2014      Type: Research Article     

Received
1 October 2012
Accepted
1 January 2013
Published
1 January 2014

Abstract

In this study, we evaluated the effects of the normalization procedures on decision outcomes of a given MADM method. For this aim, using the weights of a number of attributes calculated from FAHP method, we applied TOPSIS method to evaluate the financial performances of 13 Turkish deposit banks. In doing this, we used the most popular four normalization procedures. Our study revealed that vector normalization procedure, which is mostly used in the TOPSIS method by default, generated the most consistent results. Among the linear normalization procedures, max-min and max methods appeared as the possible alternatives to the vector normalization procedure.

Related articles Cited by PDF XML
Related articles Cited by PDF XML

Copyright
No copyright data available.

Keywords
MADM TOPSIS normalization consistency performance evaluation

Metrics
since January 2020
2493

Article info
views

0

Full article
views

1635

PDF
downloads

281

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
  • Copyright © 2023 Vilnius University

About

  • About journal

For contributors

  • OA Policy
  • Submit your article
  • Instructions for Referees
    •  

    •  

Contact us

  • Institute of Data Science and Digital Technologies
  • Vilnius University

    Akademijos St. 4

    08412 Vilnius, Lithuania

    Phone: (+370 5) 2109 338

    E-mail: informatica@mii.vu.lt

    https://informatica.vu.lt/journal/INFORMATICA
Powered by PubliMill  •  Privacy policy