Computing with words to assess 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	2014-03-01T01:33:03Z
dc.date.available	2014-03-01T01:33:03Z
dc.date.issued	2010	en
dc.identifier.issn	0957-4174	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20289
dc.subject	Linguistic variables	en
dc.subject	Multiple criteria analysis	en
dc.subject	Renewable energy	en
dc.subject	Sustainable development	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.other	Action plan	en
dc.subject.other	Approximation procedure	en
dc.subject.other	Complex task	en
dc.subject.other	Computing with words	en
dc.subject.other	Fuzzy ranking method	en
dc.subject.other	Linguistic information	en
dc.subject.other	Linguistic variable	en
dc.subject.other	Multi-criteria method	en
dc.subject.other	Multiple criteria analysis	en
dc.subject.other	Numerical values	en
dc.subject.other	Qualitative aspects	en
dc.subject.other	Renewable energies	en
dc.subject.other	Renewable energy	en
dc.subject.other	Renewable energy source	en
dc.subject.other	Diffusers (optical)	en
dc.subject.other	Electromagnetic wave emission	en
dc.subject.other	Energy policy	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Global warming	en
dc.subject.other	Greenhouse gases	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.title	Computing with words to assess the sustainability of renewable energy options	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.eswa.2010.02.061	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.eswa.2010.02.061	en
heal.language	English	en
heal.publicationDate	2010	en
heal.abstract	Appraising the Renewable Energy Sources (RES) options' contribution to Sustainable Development (SD) is a complex task, considering the different aspects of SD the imprecision and uncertainty of the related information as well as the qualitative aspects embodied, that cannot be represented by numerical values. The objective of the paper is to show how energy policy objectives towards SD and RES options are related and assessed using linguistic variables. The presented method extends the numerical multicriteria method TOPSIS for processing linguistic information, eliminating in parallel the loss of information caused by the approximation procedures and the ambiguity of the fuzzy ranking method's selection. Moreover, the application of the method's computerized software to the RES interventions proposed in the Hellenic National Action Plan for Greenhouse Gases is presented and discussed. (C) 2010 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Expert Systems with Applications	en
dc.identifier.doi	10.1016/j.eswa.2010.02.061	en
dc.identifier.isi	ISI:000277726300090	en
dc.identifier.volume	37	en
dc.identifier.issue	7	en
dc.identifier.spage	5491	en
dc.identifier.epage	5497	en