Informatica logo


Login Register

  1. Home
  2. Issues
  3. Volume 25, Issue 1 (2014)
  4. Decision Making with Unknown Data: Devel ...

Informatica

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

Decision Making with Unknown Data: Development of ELECTRE Method Based on Black Numbers
Volume 25, Issue 1 (2014), pp. 21–36
Shide Sadat Hashemi   Seyed Hossein Razavi Hajiagha   Maghsoud Amiri  

Authors

 
Placeholder
https://doi.org/10.15388/Informatica.2014.02
Pub. online: 1 January 2014      Type: Research Article     

Received
1 December 2011
Accepted
1 March 2013
Published
1 January 2014

Abstract

In multi criteria Decision Making, the decision maker wants to find the best alternative among a set of alternatives in order to satisfy a set of criteria. Traditionally, decision making models are based on crisp data. The shortcoming of these data in capturing the reality and lack of information persuaded researchers to develop decision making methods with uncertain data. In this paper, the ELECTRE method is extended with black numbers, under ambiguous environment. The proposed method is applied in a supplier selection problem. It's an outstanding method that can be used in real world problems with ill-defined and incomplete data.

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

Copyright
No copyright data available.

Keywords
multiple criteria Decision Making ELECTRE unknown data black number supplier selection

Metrics
since January 2020
1104

Article info
views

0

Full article
views

629

PDF
downloads

218

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