Stochastic preference analysis in numerical preference relations

Numerical preference relations (NPRs) consisting of numerical judgments can be considered as a general form of the existing preference relations, such as multiplicative preference relations (MPRs), fuzzy preference relations (FPRs), interval MPRs (IV-MPRs) and interval FPRs (IV-FPRs). On the basis of NPRs, we develop a stochastic preference analysis (SPA) method to aid the decision makers (DMs) in decision making. The numerical judgments in NPRs can also be characterized by different probability distributions in accordance with practice. By exploring the judgment space of NPRs, SPA produces several outcomes including the rank acceptability index, the expected priority vector, the expected rank and the confidence factor. The outcomes are obtained by Monte Carlo simulation with at least 95% confidence degree. Based on the outcomes, the DMs can choose some of them which they find most useful to make reliable decisions.     

Surface modification of hollow microsphere Li1.2Ni1/3Co1/3Mn1/3O2 cathode by coating with CoAl2O4

Journal of Solid State Electrochemistry - Li1.2Ni1/3Co1/3Mn1/3O2 was synthesized as a cathode material for lithium-ion batteries and coated with various amounts of CoAl2O4 (0–5 wt%)...     

Excitation control for three-dimensional Peregrine solution and combined breather of a partially nonlocal variable-coefficient nonlinear Schrödinger equation

Nonlinear Dynamics - A (2 + 1)-dimensional variable-coefficient partially nonlocal nonlinear Schrödinger equation is considered, and analytical Peregrine solution (PS) and combined Akhmediev...     

保温层结构对感应加热制备太阳能级多晶硅影响的数值模拟研究

定向凝固技术是制备太阳能级多晶硅的主要制备技术.在该技术路线之中,优化多晶铸锭炉的热场结构和控制硅熔体的对流形态是获得高品质多晶硅的有效途径之一.本文设计了三种热场保温层,通过分析不同保温层下坩埚内硅熔体的热场、流场、固液界面、氧含量等的变化,确定了优化的保温层结构.研究发现,在传统固化碳毡保温层中引入石墨层可以使多晶炉内形成两个“热源”,提高多晶炉的热效率,使其能耗降低了38.5;;在洛伦兹力的作用下硅熔体中仅存在一个上下贯通的涡流,有利于硅中杂质原子的挥发.同时,添加石墨保温层后固液界面的形状由“W”状转变为凹状,其上的氧含量有所降低,并且V/Gn值在整个固液界面范围内均大于临界值,可以有效抑制氧沉淀.可见,在感应加热多晶硅生长系统中,采用固化碳毡+石墨保温层时,有利于降低多晶硅的生产成本并提高多晶硅的品质.     

Mixed-cation perovskite solar cells in space

<正>The metal halide perovskite materials demonstrate outstanding performance in photovoltaics because of their excellent optoelectronic properties [1-7]. The perovskite solar cells (PSCs) exhibiting outstanding efficiency [8,9], high power-per-weight [10], and excellent radiation resistance[11-13] are considered to be promising for developing the new-generation energy technology for space application.However, the extreme space environment would impose     

Preface to the special topic: New advances in water and water systems

<正>Water and related systems play a central role in science and technology. Although water has unusual and anomalous behaviors,if compared with normal liquids, it is of fundamental interest in many research fields going from chemical-physics to life sciences. The first and well known example of these anomalies is the density maximum, at 277 K, intuited by Galilei [1] in 1612and lately discovered in Florence [2].