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Emerging Technologies for Electric and Hybrid Vehicles
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Energies 2016,9, 270 43. Yao, J.-S.; Wu, K. Ranking fuzzy numbers based on decomposition principle and signed distance. FuzzySetsSyst. 2000,116, 275–288. [CrossRef] 44. Lee,A.H.; Chen,W.-C.; Chang,C.-J.A fuzzyAHPandBSCapproach for evaluatingperformance of it department in themanufacturing industry inTaiwan.ExpertSyst.Appl. 2008,34, 96–107. [CrossRef] 45. Chen,T.-Y.;Tsao,C.-Y.The interval-valuedfuzzyTOPSISmethodandexperimentalanalysis.FuzzySetsSyst. 2008,159, 1410–1428. [CrossRef] 46. Chen,L.Y.;Wang,T.-C.Optimizingpartners’ choice in IS/IToutsourcingprojects: Thestrategicdecisionof fuzzyVIKOR. Int. J.Prod. Econ. 2009,120, 233–242. [CrossRef] 47. Hsu,C.-H.;Wang,F.-K.;Tzeng,G.-H.Thebestvendorselectionforconductingtherecycledmaterialbased onahybridMCDMmodelcombiningdanpwithVIKOR.Resour. Conserv.Recycl.2012,66, 95–111. [CrossRef] 48. Zhang,N.;Wei,G.ExtensionofVIKORmethodfordecisionmakingproblembasedonhesitant fuzzyset. Appl.Math.Model. 2013,37, 4938–4947. [CrossRef] 49. Shemshadi,A.;Shirazi,H.;Toreihi,M.;Tarokh,M.J.AfuzzyVIKORmethodforsupplier selectionbasedon entropymeasure forobjectiveweighting.ExpertSyst.Appl. 2011,38, 12160–12167. [CrossRef] 50. Sanayei,A.;Mousavi, S.F.; Yazdankhah,A.Groupdecisionmakingprocess for supplier selectionwith VIKORunder fuzzyenvironment.ExpertSyst.Appl. 2010,37, 24–30. [CrossRef] 51. Lihong,M.; Yanping, Z.; Zhiwei, Z. Improved vikor algorithm based onAHP and Shannon entropy in the selection of thermal power enterprise’s coal suppliers. In Proceedings of the International Conference on InformationManagement, InnovationManagement and Industrial Engineering, Taipei, Taiwan,19–21December2008;pp.129–133. 52. Stahura, F.L.;Godden, J.W.; Xue,L.; Bajorath, J.Distinguishingbetweennaturalproducts andsynthetic moleculesbydescriptorShannonentropyanalysisandbinaryQSARcalculations. J.Chem. Inf. Comput. Sci. 2000,40, 1245–1252. [CrossRef] [PubMed] 53. Godden, J.W.;Stahura,F.L.;Bajorath, J.Variabilityofmoleculardescriptors incompounddatabases revealed byShannonentropycalculations. J.Chem. Inf. Comput. Sci. 2000,40, 796–800. [CrossRef] [PubMed] 54. Ghorbani,M.; Arabzad, S.M.; Bahrami,M. Implementing Shannon entropy, SWOT andmathematical programmingforsupplier selectionandorderallocation. Int. J.Suppl. ChainManag. 2012,1, 43–47. ©2016bytheauthors. LicenseeMDPI,Basel,Switzerland. Thisarticle isanopenaccess articledistributedunder the termsandconditionsof theCreativeCommonsAttribution (CCBY) license (http://creativecommons.org/licenses/by/4.0/). 200
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Emerging Technologies for Electric and Hybrid Vehicles
Titel
Emerging Technologies for Electric and Hybrid Vehicles
Herausgeber
MDPI
Ort
Basel
Datum
2017
Sprache
englisch
Lizenz
CC BY-NC-ND 4.0
ISBN
978-3-03897-191-7
Abmessungen
17.0 x 24.4 cm
Seiten
376
Schlagwörter
electric vehicle, plug-in hybrid electric vehicle (PHEV), energy sources, energy management strategy, energy-storage system, charging technologies, control algorithms, battery, operating scenario, wireless power transfer (WPT)
Kategorie
Technik
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Emerging Technologies for Electric and Hybrid Vehicles