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An Efficient Neuro-Fuzzy-Genetics Approach for Multi Criteria Decision Making
handrasekhar Mesh ram,Shyam Sundar Agrawal 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.5
The present paper, we applied combined neural network, fuzzy logic and genetics algorithm approach to multi criteria decision-making in different areas. The paper begins with introduction and literature review followed by some fundamental of fuzzy set theory, neural network and genetics algorithm and methodology to apply them in multi criteria decision-making, which provides a better level of satisfaction to obtain the better decision.
S.A. Safwan,Assma Saleh,Hekmat M. Hassanein,Nagwa El Meshed 한국물리학회 2018 Current Applied Physics Vol.18 No.1
The hydrostatic pressure (P) influence of the degenerate energy states inside an inverse parabolic quantum dot (IPQD), with and without an external magnetic field, was performed within the frame of the effective mass approximation. Our theoretical results showed that the effect of relatively high pressure clearly appeared to induce a crossing between the excited states in the strong confinement region. But in the weak confinement region, such crossing disappeared and, in addition, the excited states got reordered. In the presence of an external magnetic field the hydrostatic pressure modified the crossing points of the degenerate states. We investigated the electron-heavy hole transition energy. It displayed a blue shift with increasing the pressure values and the magnetic field strength. But it showed an adhesive red shift by increasing the IPQD size.
International comparison CCQM-K119 liquefied petroleum gas
Brewer, P J,Downey, M L,Atkins, E,Brown, R J C,Brown, A S,Zalewska, E T,van der Veen, A M H,Smeulders, D E,McCallum, J B,Satumba, R T,Kim, Y D,Kang, N,Bae, H K,Woo, J C,Konopelko, L A,Popova, T A,Mesh IOP 2018 Metrologia Vol.55 No.-
<P></P> <P>Liquefied hydrocarbon mixtures with traceable composition are required in order to underpin measurements of the composition and other physical properties of LPG (liquefied petroleum gas), thus meeting the needs of an increasingly large industrial market.</P> <P>This comparison aims to assess the analytical capabilities of laboratories for measuring the composition of a Liquid Petroleum Gas (LPG) mixture when sampled in the liquid phase from a Constant Pressure Cylinder. Mixtures contained ethane, propane, propene, i-butane, n-butane, but-1-ene and i-pentane with nominal amount fractions of 2, 71, 9, 4, 10, 3 and 1 cmol mol<SUP>−1</SUP> respectively.</P> <H2>Main text</H2> <P> To reach the main text of this paper, click on <A HREF='https://www.bipm.org/utils/common/pdf/final_reports/QM/K119/CCQM-K119.pdf'>Final Report</A>. Note that this text is that which appears in Appendix B of the BIPM key comparison database <A HREF='http://kcdb.bipm.org/'>kcdb.bipm.org/</A>.</P> <P>The final report has been peer-reviewed and approved for publication by the CCQM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).</P>