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		题名	作者	年代	出处	被引量
	1	Predicting effects of cations on copper toxicity to lettuce (Lactuca sativa) by the biotic ligand model显示文摘	T.T. YenLe Willie J.G.M.Peijnenburg A. JanHendriks Martina G.Vijver	2012	Environmental Toxicology and Chemistry2012，，2：	1
	2	Chemical derivatization combined with capillary LC or MALDI-TOF MS for trace determination of lipoic acid in cosmetics and integrated protein expression profiling in human keratinocytes显示文摘	Tsai ChiaJu Lin YingChi Chen YenLing	2014	Talanta2014，130，：	1
	3	An antigenic protein gene of a phytoplasma associated with sweet potato wit- ches' broom显示文摘	Yu Yenling Yeh Kaiwun Lin Chanpin	1998	Microbiology1998，144，：	1
	4	MultimorbidityandcomorbidityofchronicdiseasesamongtheseniorAustralians:prevalenceandpatterns显示文摘	Islam-MM ValderasJM YenL etal	2014	PLoSOne2014，9，83：	1
	5	显示文摘	CHEN Yenling JONG Yuhjyh WU Shoumei	2006	J Chromatogr: A2006，1119，：	1
	6	Haemolymph parameters of Pacific white shrimp{Litopenaeus vannamei) infected with Taura syndromevirus 显示文摘	SONG YENLING YU CHUN LIEN T W	2003	Fish & Shellfish Immunology2003，14，：	1
	7	Single-valued neutrosophic relations and their application to factors affecting oil prices显示文摘The recent boom of economic activities has escalated the demand for oil that eventually will affect its prices.However,oil prices are difficult to predict because most of the factors affecting oil prices are vague and intangible.The challenges in predicting oil prices urgently require a novel approach where issues related to multiple-factors,uncertainty,and periodicity can be addressed.The authors propose the single-valued neutrosophic relations based decision-making method inspired by the three memberships of neutrosophic sets,and amplitude and periodicity of complex numbers.The proposed method is applied to the case of oil prices where six factors affecting oil prices and six benchmarks measuring oil prices are employed.This new method combines with complex neutrosophic numbers and algebraic relations,and can suggest the most influential factor that affects oil prices.Considering the periodicity of 24 months,computation results verify the‘global economic rate’as the most influential factor that affects the prices of oil.The main contribution of this study is the development of a neutrosophic relations-based decision-making method to suggest the most influential factor that affects oil prices.The result provides evidence on the feasibility of the proposed method in suggesting the influential factors that affect oil prices.	Yenling Chaw Lazim Abdullah Mahmod Othman	2020	CAAI Transactions on Intelligence Technology2020，5，2：	0

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