<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Nov 2015 Turkey, Turkey, United Kingdom Publisher:Elsevier BVJournal:Journal of Natural Gas Science and Engineering, volume 27, pages 692-705 (issn: 1875-5100,

Authors: Deveci, Muhammet; Çetin Demirel, Nihan; John, Robert; Özcan, Ender;

doi: 10.1016/j.jngse.2015.09.004

Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey

- Summary
- Subjects
- Metrics

Abstract

The problem of choosing the best location for CO2 storage is a crucial and challenging multi-criteria decision problem for some companies. This study compares the performance of three fuzzy-based multi-criteria decision making (MCDM) methods, including Fuzzy TOPSIS, Fuzzy ELECTRE I and Fuzzy VIKOR for solving the carbon dioxide geological storage location selection problem in Turkey. The results show that MCDM approach is a useful tool for decision makers in the selection of potential sites for CO2 geological storage.

Countries

Turkey, Turkey, United Kingdom

Related Organizations

Nottingham Trent University
United Kingdom
Yıldız Technical University
Turkey
Yıldız Technical University
Turkey

Keywords

Fuzzy decision, Geology, Decision support systems, Electre, Location, Carbon dioxide storage, Fuzzy VIKOR, FUZZY TOPSIS, Decision making, Location selection, Carbon dioxide

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	73
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%