Using the Method of Maximizing Deviation to Make Decision for M ultiindices

This paper takes the synthesizing evaluation about industrial economic benefits by examples and proposes a new method named maximizing deviation method for multiindices decision. The new method can automatically determine the weight coefficients among the multiindices and also can obtain the exact and reliable evaluation results without subjectivity.

SMALL PERTURBATION CRAMER METHODS AND MODERATE DEVIATIONS FOR MARKOV PROCESSES

This paper presents a small perturbation Cramer method for obtaining the large deviation principle of a family of measures (β,ε> 0) on a topological vector space. As an application, we obtain the moderate deviation estimations for uniformly ergodic Markov processes.

A LARGE DEVIATION PRINCIPLE FOR THE STOCHASTIC GENERALIZED GINZBURG-LANDAU EQUATION DRIVEN BY JUMP NOISE

In this paper,we establish a large deviation principle for the stochastic generalized Ginzburg-Landau equation driven by jump noise.The main difficulties come from the highly non-linear coefficient and the jump noise.Here,we adopt a new sufficient condition for the weak convergence criterion of the large deviation principle,which was initially proposed by Matoussi,Sabbagh and Zhang(2021).

Maximizing deviation method for multiple attribute decision making under q-rung orthopair fuzzy environment

Because of the uncertainty and subjectivity of decision makers in the complex decision-making environment,the evaluation information of alternatives given by decision makers is often fuzzy and uncertain.As a generalization of intuitionistic fuzzy set(IFSs)and Pythagoras fuzzy set(PFSs),q-rung orthopair fuzzy set(q-ROFS)is more suitable for expressing fuzzy and uncertain information.But,in actual multiple attribute decision making(MADM)problems,the weights of DMs and attributes are always completely unknown or partly known,to date,the maximizing deviation method is a good tool to deal with such issues.Thus,combine the q-ROFS and conventional maximizing deviation method,we will study the maximizing deviation method under q-ROFSs and q-RIVOFSs in this paper.Firstly,we briefly introduce the basic concept of q-rung orthopair fuzzy sets(q-ROFSs)and q-rung interval-valued orthopair fuzzy sets(q-RIVOFSs).Then,combine the maximizing deviation method with q-rung orthopair fuzzy information,we establish two new decision making models.On this basis,the proposed models are applied to MADM problems with q-rung orthopair fuzzy information.Compared with existing methods,the effectiveness and superiority of the new model are analyzed.This method can effectively solve the MADM problem whose decision information is represented by q-rung orthopair fuzzy numbers(q-ROFNs)and whose attributes are incomplete.

Spectrum Deviation Method of Identification of Foreshocks or Generalized Foreshocks and Its Applications

Based on previous research work,we present a spectrum deviation method to recognize a foreshock or generalized foreshock in this paper. The criterion to determine whether an event is a foreshock is a wide spectrum for an ordinary event,however,a moderate earthquake with foreshock or generalized foreshock has the characteristics of a narrow frequency band,and it deviates to the low frequency. It may be explained by metastable extension in the rupture source or related area of the main shock or regional fragmentation damage and crack nucleation process. The calculation results of two foreshocks,the M_S4. 7 event which occurred before the Yushu M_S7. 1 earthquake on April 14,2010 and the M_S5. 3 event which occurred before the Yutian M_S7. 3 earthquake on February 12,2014,show that the spectra of foreshocks shift,and they are quite different from the nonforeshock seismic spectrum of equivalent size. Therefore,this result can verify the validity of the spectrum deviation method.

Discontinuous penalty approach with deviation integral for global constrained minimization

In this paper, we use the discontinuous exact penalty functions to solve the constrained minimization problems with an integral approach. We examine a general form of the constrained deviation integral and its analytical properties. The optimality conditions of the penalized minimization problems are proven. To implement the al- gorithm, the cross-entropy method and the importance sampling are used based on the Monte-Carlo technique. Numerical tests show the effectiveness of the proposed algorithm.

Freidlin-Wentzell’s Large Deviations for Stochastic Evolution Equations with Poisson Jumps

We establish a Freidlin-Wentzell’s large deviation principle for general stochastic evolution equations with Poisson jumps and small multiplicative noises by using weak convergence method.

An Efficient Frontier for Sum Deviation JIT Sequencing Problem in Mixed-model Systems via Apportionment

In this paper, the sum deviation just-in-time （JIT） sequencing problem in mixed-model production systems is studied relating with the discrete apportionment problem together with their respective mathematical formulations. The assignment formulation for the first problem is briefly discussed followed by the existence of JIT cyclic sequences. Presenting the concise discussion on divisor methods for the discrete apportionment problem, we have proposed two mean-based divisor functions for this problem claiming that they are better than the existing divisors; hence, we found a better bound for the JIT sequencing problem. The linkage of both the problems is characterized in terms of similar type of objective functions. The problems are shown equivalent via suitable transformations and similar properties. The joint approaches for the two problems are discussed in terms of global and local deviations proposing equitably efficient solution.

Application of deviation rate in oil and gas reservoir exploration

Three dimensional geophysical models were abstracted and established according to characteristics of oil and gas reservoir.Then direct current fields for different models were simulated with finite element software(finite element program generator) by hole-to-surface resistivity method.Numerical solution was compared with analytical one for the homogeneity earth model.And a new parameter of deviation rate was proposed by analyzing different plot curves.The results show that the relative error of solution for homogeneity earth model may attain to 0.043%.And deviation rate decreases from 18% to 1% and its anomaly range becomes wide gradually when the depth of oil and gas reservoir increases from 200 to 1 500 m.If resistivity ratio of oil and gas reservoir to sur-rounding rock decreases from 100 to 10 for the resistive oil and gas reservoir,the amplitude attenuation of deviation rate nearly reaches 8%.When there exists stratum above oil and gas reservoir,and influence of resistive stratum may be eliminated or weakened and anomaly of oil and gas reservoir can be strengthened.

Modeling for Orientation Deviation of Workpiece and Analysis of Machining Accuracy

The machining accuracy of workpiece is influenced by its orientation deviation, which is caused by the fixture-workpiece error. Based on the spatial coordinate theory, the orientation deviation of workpiece is measured by using an on-machine verification system, which can take into account the errors resulting from fixture manufacturing, installation and adjustment, location and clamping of workpiece. According to the least square method, the model of orientation deviation is built to determine the relationship between the theoretical and actual coordinate systems. The influence of orientation deviation on machining accuracy is quantified, and it is shown that the orientation deviation only affects the dimensional precision and position precision, rather than shape precision. In the experiment, the compensation processing of realtime errors was conducted, and the perpendicularity and inclination errors of the tetragonal part were reduced by 38.46% and 47.06%, respectively.

基于Autoformer的铝电解电压偏差预测方法研究

电耗是吨铝成本中一项非常重要的生产指标,而电压偏差则是铝电解生产过程中电耗管理的关键点,因此本文基于中国铝业某铝厂2015—2020年的铝电解数据,对电压偏差的影响特征和预测展开研究。首先,利用分布式梯度增强库(eXtreme Gradient Boosting,XGBoost)算法深度挖掘电压偏差的关联性,并根据相关性得分选取与电压偏差相关性较大的特征。在此基础上,本文构建了基于Autoformer模型的电压偏差预测方法,对2020年前半年的电压偏差数据进行预测,取得了较好的预测效果。将电压偏差的预测结果应用于实际的电解铝生产指导中,可以实现电压偏差的预警,及时调整生产决策,从而减少能耗、稳定电解槽况、延长槽寿命。

采用云重心评判法的港口船舶溢油综合应急能力评价

为突破单环节评价港口船舶溢油应急能力的局限性,合理配置资源,采用云重心评判法全环节评估港口船舶溢油综合应急能力,面向应急准备、预警、行动、恢复全环节,参照人-机-环境-管理系统理论和国际国内规定,建立综合应急能力评价指标体系;针对传统评价指标因素未涉及模糊性和随机性的问题,用加权偏离度确定定性指标与定量数值间的转化关系;利用层次分析法(AHP)优化评价意见,弥补评价样本欠充分带来的精度缺陷;最后,以上海港为例,对船舶溢油综合应急能力评价作实证研究。结果表明:云重心评判法能合理评价港口船舶溢油综合应急能力,为健全和完备应急能力提供理论依据,为港口船舶溢油综合应急能力评价提供了一种新思路。

2024年1月23日乌什M_(S)7.1地震序列频谱偏移特征分析

采用P波初动方法计算了乌什M_(S)7.1地震序列中M_(S)≥4.0地震的震源机制解,震源机制解在时间上存在前期一致性较好,后期一致性紊乱的特点。空间上,乌什县内震源机制解类型多为逆冲型,阿合奇县内震源机制解类型多为走滑型。利用新疆地震台网数字波形资料和快速傅里叶变换方法,计算乌什M_(S)7.1地震序列中M_(S)≥5.0地震序列的频率谱,计算结果显示,乌什县内发生的5级余震前期有频谱偏移特征,最后一个5级地震频带变宽,频谱偏移特征消失;阿合奇县内发生的5级余震均出现了频谱偏移特征。

基于UWB偏差平均法和迭代算法吊物跟踪系统研究

吊运货物精准定位是智能仓储和安全管理的根本保障。本文采用UWB(超宽带)定位技术,按照车间构造合理布置信号基站,首先采用偏差平均平面定位算法,初步计算吊物坐标位置;然后用牛顿迭代法,将计算结构进行处理,提高货物定位精度;再利用MATLAB强大的运算能力,实现吊物路径跟踪,并采用数维图数据可视化工具(SovitChart)进行仓库管理平台的开发;最后,对综合算法进行试验验证,定位精度分析结果显示该方法合理有效。

基于自助法的弧齿锥齿轮齿面修正

为了降低弧齿锥齿轮在批量加工制造中存在的齿面偏差,提出一种基于自助法的弧齿锥齿轮齿面修正方法。以同一批次小样本弧齿锥齿轮作为研究对象,在自助法统计齿面偏差检测数据的基础上,得到大量的齿面偏差数据;利用NURBS曲面拟合方法构建齿面的均值差曲面,将它作为实际加工齿面,建立齿面偏差的数字化预控补偿模型,对它进行优化求解,得到批量齿面数控加工的机床修正参数,然后不断调整机床加工参数,实现齿面的预控修正补偿;最后对修正前、后齿面偏差作对比分析。结果表明:小轮齿面偏差比修正前降低了76.66%,验证了自助法齿面修正理论的有效性,对指导弧齿锥齿轮批量齿面修正提供了理论依据。

基于“五脏偏倾”理论探析青少年特发性脊柱侧弯中医病机与治则

[目的]探析青少年特发性脊柱侧弯中医病机与治则,开拓其中医诊治思路。[方法]通过查阅中医古代文献中青少年特发性脊柱侧弯相关文献,基于《黄帝内经》“五脏偏倾”理论,通过文献研究总结青少年特发性脊柱侧弯中医病因、病机、治则治法,探讨中医“五脏偏倾”理论对AIS治疗与调摄的指导作用。[结果]文献研究发现,《黄帝内经》“五脏偏倾”表现与青少年特发性脊柱侧弯的病变部位、症状特征高度一致。基于中医“五脏偏倾”理论的学术内涵,青少年特发性脊柱侧弯症因以禀赋不足为主,饮食不节、劳倦所伤为诱,病机以脾肾失调、五脏偏倾为本,筋出槽、骨错缝为标,治则为调理脾肾、端正五脏、筋骨并重、内外结合,治法应综合内服、外治、导引、食疗等多种方法。[结论]青少年特发性脊柱侧弯与“五脏偏倾”高度相关。基于“五脏偏倾”理论探讨青少年特发性脊柱侧弯的病机与治则,可以为青少年特发性脊柱侧弯的“治未病”“既病防变”临床诊疗提供中医思路,值得重视与进一步挖掘并应用于临床。

基于改进权函数距离的机器人运动偏差补偿算法设计

针对机器人在组装和生产过程中,由于几何参数存在一定误差,使连杆以及关节处等不可避免地出现细微差别,对机器人运动精度产生一定影响问题,提出了基于改进权函数距离的机器人运动偏差补偿算法设计方案。在定位机器人位置前添加扭角,获取机器人两坐标系间转换矩阵,根据线性标定计算机器人运动定位的绝对误差,利用改进权函数建立机器人距离误差数学模型,初步补偿运动误差。计算机器人末端执行器中心点位置和姿态的偏差,将补偿问题转化成机器人运动优化问题,得出运动偏差优化问题目标函数,经多次迭代得出最终补偿结果。实验结果表明,所提方法的误差补偿效果佳,重心补偿后的机器人运行稳定性好。

资源型城市城镇低效用地空间格局及其盘活路径研究——以鹤壁市为例

基于高质量国土空间布局和严格管控“三区三线”背景,挖掘存量建设用地,提高土地节约集约利用度已成为城市土地利用亟待解决的重要问题。本文利用鹤壁市旧城镇、旧厂矿、旧村庄三类城镇低效用地的调查数据,运用核密度和标准差椭圆法定量分析了鹤壁市城镇低效用地的空间格局特征,主要结论如下,(1)城镇低效用地表现出面状集聚、多核心的空间分布特点,其中老城区各低效用地点呈“西北-东南”向,集中分布于A1~A5共5个集聚区,数量相对均匀;新城区则呈“东北-西南”向集中分布于B1~B3共3个集聚区,分布呈“东北多西南少”。(2)鹤壁市低效用地空间格局影响因素主要包括资源型城市产业结构调整、工业企业发展不完善、土地征收相关政策调整三个方面。(3)在盘活路径方面,老城区加强停产煤矿厂房的重新利用,部分废弃的采矿用地复垦为公园绿地,新城区重点发展第三产业为主,以引进土地利用强度高的工业企业为主。

差示扫描量热法测定石蜡熔点的研究

采用差示扫描量热(DSC)技术,模拟石蜡熔点(冷却曲线法)测试过程,测定石蜡的熔点。研究了起始温度、终止温度、吹扫气(氮气)流量、升降温速率、试样质量、恒温时间、样品制备方式、升降温次数等对测试结果的影响,确定了DSC法测定石蜡熔点的适宜条件,考察了DSC法与标准方法(GB/T 2539—2008)的偏倚。结果表明,采用DSC法测定石蜡熔点时的升温速率宜为10℃/min,降温速率宜为5℃/min,试样在高于预估熔点20~30℃下熔融时间不应超过1 h。通过采用6台不同型号的DSC仪器对14个牌号石蜡样品进行测试,计算出DSC法与标准方法的偏倚为-1.14℃。DSC法操作简单、试样用量少、检测速率快、重复性好,可作为控制分析手段,快速准确地测定石蜡的熔点。

结合SBAS-InSAR技术与瞬变电磁法在煤矿区沉降监测中的应用

煤矿长时间开采会导致上覆岩层在重力因素下产生刚性弯曲、断裂等,进而造成一系列安全隐患。如何高效地对煤矿区进行地表形变监测,对煤矿安全、自然生态有着十分重要的意义。文章结合小基线集干涉测量(small baseline subset InSAR,SBAS-InSAR)技术与瞬变电磁测深法对煤矿区进行沉降监测。此外,采用标准差椭圆分析了沉降体空间形变规律与特征,利用长短时记忆网络(long short term memory network,LSTM)模型预测了沉降体形变趋势。分析结果表明:通过瞬变电磁法与干涉测量结合,地表形变范围基本与瞬变电磁反演的采空区吻合,标准差椭圆分析出形变中心向西南方移动376 m,沉降形态也在向似圆状过渡;LSTM模型可以预测两个月的形变,误差为2 mm,可以实现煤矿区形变趋势的短期预测。