A linguistic TOPSIS model to evaluate the sustainability of renewable energy options

Doukas, H; Karakosta, C; Psarras, J

dc.contributor.author	Doukas, H	en
dc.contributor.author	Karakosta, C	en
dc.contributor.author	Psarras, J	en
dc.date.accessioned	2014-03-01T01:29:34Z
dc.date.available	2014-03-01T01:29:34Z
dc.date.issued	2009	en
dc.identifier.issn	09547118	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19310
dc.subject	2-tuples	en
dc.subject	Linguistic variables	en
dc.subject	Multiple criteria	en
dc.subject	Renewable energy	en
dc.subject	SD	en
dc.subject	Sustainable development	en
dc.subject	TOPSIS	en
dc.subject.other	2-tuples	en
dc.subject.other	Linguistic variables	en
dc.subject.other	Multiple criteria	en
dc.subject.other	Renewable energy	en
dc.subject.other	SD	en
dc.subject.other	TOPSIS	en
dc.subject.other	Computational linguistics	en
dc.subject.other	Data processing	en
dc.subject.other	Diffusers (optical)	en
dc.subject.other	Electromagnetic wave emission	en
dc.subject.other	Energy policy	en
dc.subject.other	Environmental protection	en
dc.subject.other	Fossil fuels	en
dc.subject.other	Linguistics	en
dc.subject.other	Strategic planning	en
dc.subject.other	Sustainable development	en
dc.subject.other	Renewable energy resources	en
dc.subject.other	carbon emission	en
dc.subject.other	data set	en
dc.subject.other	emission control	en
dc.subject.other	energy market	en
dc.subject.other	energy policy	en
dc.subject.other	fossil fuel	en
dc.subject.other	renewable resource	en
dc.subject.other	sustainability	en
dc.subject.other	sustainable development	en
dc.subject.other	Eurasia	en
dc.subject.other	Europe	en
dc.subject.other	Greece	en
dc.subject.other	Southern Europe	en
dc.title	A linguistic TOPSIS model to evaluate the sustainability of renewable energy options	en
heal.type	journalArticle	en
heal.identifier.primary	10.1504/IJGEI.2009.027976	en
heal.identifier.secondary	http://dx.doi.org/10.1504/IJGEI.2009.027976	en
heal.publicationDate	2009	en
heal.abstract	Renewable Energy Sources (RES) could be used to reduce carbon emissions, decrease dependence on fossil fuels and meet energy policy objectives towards Sustainable Development (SD). However, appraising the RES options' contribution to SD is a complex task, considering the different aspects of SD and the uncertainty of related information. The paper's objective is to extend the numerical multicriteria method TOPSIS for processing linguistic data in the form of 2-tuples, so as to show how energy policy objectives towards SD and RES are assessed using linguistic variables. Moreover, the application of the proposed method to the Greek energy marketis presented. © 2009 Inderscience Enterprises Ltd.	en
heal.journalName	International Journal of Global Energy Issues	en
dc.identifier.doi	10.1504/IJGEI.2009.027976	en
dc.identifier.volume	32	en
dc.identifier.issue	1-2	en
dc.identifier.spage	102	en
dc.identifier.epage	118	en