A linguistic decision support model towards the promotion of renewable energy

Doukas, H; Psarras, J

dc.contributor.author	Doukas, H	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	1556-7257	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19309
dc.subject	Decision support	en
dc.subject	Linguistic variables	en
dc.subject	Renewable energy	en
dc.subject.classification	Energy & Fuels	en
dc.subject.other	2-tuple representations	en
dc.subject.other	Carbon emissions	en
dc.subject.other	Complex task	en
dc.subject.other	Decision support	en
dc.subject.other	Decision support models	en
dc.subject.other	Energy markets	en
dc.subject.other	Linguistic variable	en
dc.subject.other	Linguistic variables	en
dc.subject.other	Multiple criteria decision supports	en
dc.subject.other	Renewable energies	en
dc.subject.other	Renewable energy	en
dc.subject.other	Renewable energy source	en
dc.subject.other	Computational linguistics	en
dc.subject.other	Decision support systems	en
dc.subject.other	Energy policy	en
dc.subject.other	Fossil fuels	en
dc.subject.other	International trade	en
dc.subject.other	Linguistics	en
dc.subject.other	Natural resources	en
dc.subject.other	Renewable energy resources	en
dc.title	A linguistic decision support model towards the promotion of renewable energy	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/15567240701620432	en
heal.identifier.secondary	http://dx.doi.org/10.1080/15567240701620432	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	In the pursuit of energy market restructure to sustainable forms of development, governments have at their disposal an increasingly diverse mix of renewable energy sources options. Indeed, renewable energy sources can be seen as a way to reduce carbon emissions, decrease fossil fuel imports, and meet other energy policy objectives. However, appraising renewable energy sources options is a really complex task, taking into consideration the imprecision and subjectivity of the related information. The main scope of this article is to present a transparent and flexible multiple criteria decision support model, based on TOPSIS extension, using the 2-tuple representation. This model aims to assist the energy actors for appraising renewable energy sources options in terms of their contribution to the energy policy objectives, using linguistic variables. Moreover, the application of the proposed model's software realization to a number of renewable energy sources options of the Greek energy market is presented and discussed.	en
heal.publisher	TAYLOR & FRANCIS INC	en
heal.journalName	Energy Sources, Part B: Economics, Planning and Policy	en
dc.identifier.doi	10.1080/15567240701620432	en
dc.identifier.isi	ISI:000267509600004	en
dc.identifier.volume	4	en
dc.identifier.issue	2	en
dc.identifier.spage	166	en
dc.identifier.epage	168	en