Proceedings of the 2013 International Conference on Advanced ICT and Education

Decision Support System for the Assessment and ranking of Energy Generation Technologies

Authors
Jurate Sliogeriene, Arturas Kaklauskas, Romualdas Kliukas, Zenonas Turskis, Natalija Lepkova, Arunas Komka
Corresponding Author
Jurate Sliogeriene
Available Online August 2013.
DOI
10.2991/icaicte.2013.146How to use a DOI?
Keywords
decision support system, energy technologies, multi-criteria analysi.
Abstract

Article presents a priority determination and utility analysis of energy generation technologies; it was done with the help of AHP and COPRAS, mathematical multi-criteria methods, and the EGT-SELECT-DS, a decision support system based on these methods. The research results suggest that the assessment and choice of energy generation technologies using multi-criteria methods and DSS is a good way to combine the performance criteria, cost-effectiveness, and ecological integrity with the criteria of technological innovativeness, socially responsible operation and sustainable development. The main objective and novelty of the paper is developed MCDM DSS in which are aggregated two different methods.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 International Conference on Advanced ICT and Education
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/icaicte.2013.146
ISSN
1951-6851
DOI
10.2991/icaicte.2013.146How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jurate Sliogeriene
AU  - Arturas Kaklauskas
AU  - Romualdas Kliukas
AU  - Zenonas Turskis
AU  - Natalija Lepkova
AU  - Arunas Komka
PY  - 2013/08
DA  - 2013/08
TI  - Decision Support System for the Assessment and ranking of Energy Generation Technologies
BT  - Proceedings of the 2013 International Conference on Advanced ICT and Education
PB  - Atlantis Press
SP  - 710
EP  - 715
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaicte.2013.146
DO  - 10.2991/icaicte.2013.146
ID  - Sliogeriene2013/08
ER  -