Informatica logo


Login Register

  1. Home
  2. Issues
  3. Volume 19, Issue 1 (2008)
  4. Multi-Criterion Assessment of Preference ...

Informatica

Information Submit your article For Referees Help ATTENTION!
  • Article info
  • More
    Article info

Multi-Criterion Assessment of Preferences for Communication Alternatives of Wind Power Park Information System
Volume 19, Issue 1 (2008), pp. 63–80
Antanas Nemura   Arturas Klementavičius  

Authors

 
Placeholder
https://doi.org/10.15388/Informatica.2008.202
Pub. online: 1 January 2008      Type: Research Article     

Received
1 February 2007
Published
1 January 2008

Abstract

This paper presents the application of multi-criterion approach to the analysis and comparison of reference alternatives of wind power park information system (WPPIS) which complies with the standard IEC 61400-25. The comparison is based on multi-criterion preferences measured in domination rate (index). The reference alternatives include centralized, mixed and seamless communication topologies. The major features of these alternatives are discussed as well as the multi-criterion methodology applied covering pair comparison, Pareto sets and fuzzy sets methods. The current investigation described is an extension of the preceding investigation of the same reference alternatives of WPPIS. As we have showed, the transition from the concerted experts view as it was a case in previous investigation to the conflicting expert views in the current investigation proved the high robustness of solution made for the case of concerted expert views: the rank of preferences for alternatives remained the same, with seamless communication topology on the top the rank.

PDF XML
PDF XML

Copyright
No copyright data available.

Keywords
multi-criterion assessment wind power park information system expert view rank of preferences communication alternatives

Metrics
since January 2020
693

Article info
views

0

Full article
views

513

PDF
downloads

187

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