Informatica logo


Login Register

  1. Home
  2. Issues
  3. Volume 20, Issue 2 (2009)
  4. Multi-Attribute Decision-Making Model by ...

Informatica

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

Multi-Attribute Decision-Making Model by Applying Grey Numbers
Volume 20, Issue 2 (2009), pp. 305–320
Edmundas Kazimieras Zavadskas   Arturas Kaklauskas   Zenonas Turskis   Jolanta Tamošaitienė  

Authors

 
Placeholder
https://doi.org/10.15388/Informatica.2009.252
Pub. online: 1 January 2009      Type: Research Article     

Received
1 September 2008
Accepted
1 December 2008
Published
1 January 2009

Abstract

Multi-attribute analysis is a useful tool in many economical, managerial, constructional, etc. problems. The accuracy of performance measures in COPRAS (The multi-attribute COmplex PRoportional ASsessment of alternatives) method is usually assumed to be accurate. This method assumes direct and proportional dependence of the weight and utility degree of investigated versions on a system of attributes adequately describing the alternatives and on values and weights of the attributes. However, there is usually some uncertainty involved in all multi-attribute model inputs. The objective of this research is to demonstrate how simulation can be used to reflect fuzzy inputs, which allows more complete interpretation of model results. A case study is used to demonstrate the concept of general contractor choice of on the basis of multiple attributes of efficiency with fuzzy inputs applying COPRAS-G method. The research has concluded that the COPRAS-G method is appropriate to use.

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

Copyright
No copyright data available.

Keywords
multi-attribute decision-making model discrete COPRAS COPRAS-G grey number contractor assessment

Metrics
since January 2020
1168

Article info
views

0

Full article
views

730

PDF
downloads

203

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