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dc.contributor.authorAlipour, M
dc.contributor.authorAlighaleh, S
dc.contributor.authorHafezi, R
dc.contributor.authorOmranievardi, M
dc.date.accessioned2021-10-07T03:39:59Z
dc.date.available2021-10-07T03:39:59Z
dc.date.issued2017
dc.identifier.issn0360-5442
dc.identifier.doi10.1016/j.energy.2017.01.024
dc.identifier.urihttp://hdl.handle.net/10072/408715
dc.description.abstractWith the historic nuclear agreement now in effect, Iran's energy sector expects a new transformation to spark back into life. The government seeks to recover the years of backwardness by capital injections and attract foreign cash into the sector long starved of investment. In this respect, an appropriate and convenient resource allocation scheme in a long-term perspective is vital to keep Iran's position as a major energy supplier. This study develops a new hybrid multi-criteria decision-making model through integrating fuzzy Analytical hierarchy process with the Cumulative belief degree model to effectively evaluate energy alternatives for investment in Iran. Fuzzy analytical hierarchy process adds more benefits to the integrated model by providing the fuzzy pairwise comparison to identify weights of criteria while the Cumulative belief degree approach offers higher quality results of overall experts' opinions since it can deal with the missing values. STEEP analysis is also used to ensure capturing influential factors in five categories: social, technological, economic, environmental, and political. As a real application, the proposed methodology is applied to prioritize major energy resources for investment in Iran. Results indicate that natural gas is the ideal option for receiving the highest funding priority followed by solar and oil.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherElsevier
dc.relation.ispartofpagefrom388
dc.relation.ispartofpageto402
dc.relation.ispartofjournalEnergy
dc.relation.ispartofvolume121
dc.subject.fieldofresearchMechanical engineering
dc.subject.fieldofresearchResources engineering and extractive metallurgy
dc.subject.fieldofresearchcode4017
dc.subject.fieldofresearchcode4019
dc.subject.keywordsScience & Technology
dc.subject.keywordsPhysical Sciences
dc.subject.keywordsTechnology
dc.subject.keywordsThermodynamics
dc.subject.keywordsEnergy & Fuels
dc.titleA new hybrid decision framework for prioritizing funding allocation to Iran's energy sector
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationAlipour, M; Alighaleh, S; Hafezi, R; Omranievardi, M, A new hybrid decision framework for prioritizing funding allocation to Iran's energy sector, Energy, 2017, 121, pp. 388-402
dc.date.updated2021-10-07T03:38:49Z
gro.hasfulltextNo Full Text
gro.griffith.authorAlipour, Mohammad


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