Understanding the financial innovation priorities for renewable energy investors via QFD-based picture fuzzy and rough numbers

This study evaluates financial innovation priorities for renewable energy investors by generating a novel hybrid fuzzy decision-making model.First,SERVQUAL-based customer needs for financial innovation are weighted with decision-making trial and evaluation laboratory based on picture fuzzy sets.Second,the financial innovation priorities are ranked by technique for order preference by similarity to ideal solutions based on picture fuzzy rough sets.In this process,Theory of the solution of inventive problems-based technical characteristics for financial services,the process for innovative services,and competencies for financial innovation are considered using quality function deployment phases.In addition,the Vise Kriterijumska Optimizacija I Kompromisno Resenje method is also considered for an alternative ranking.Similarly,sensitivity analysis is also performed by considering five different cases.It is determined that the ranking priorities based on the proposed model are almost identical,demonstrating the proposed model’s validity and reliability.Assurance is the most crucial factor for the customer needs regarding the financial innovation priorities for renewable energy investors.Concerning the financial innovation priorities,the product is the essential priority for financial innovation;hence,it is recommended that companies engage qualified employees to effectively design the financial innovation for renewable energy investors.Additionally,necessary training should be given to the employees who currently work in the company,which can increase the renewable energy investors’trust in the innovative financial products.Companies should mainly focus on the product to provide better financial innovation to attract renewable energy investors.An effectively designed financial innovation product can help solve the financing problem of renewable energy investors.

近似精度Rough数及其在DSS中的应用

本文在介绍Ｒｏｕｇｈ集基础上，用Ｒｏｕｇｈ下和上近似集定义了近似精度Ｒｏｕｇｈ数及其运算法则。并举例说明了这种新构想的Ｒｏｕｇｈ数被应用于ＤＳＳ（决策支持系统）中颇有新意。最后，阐述了近似精度μ将使Ｒｏｕｇｈ逻辑的五值被扩充为多值。

Rough正项几何规划及其算法

在rough集合和rough凸集的基础上,提出了rough值集凸函数的概念,建立了rough正项几何规划的知识表示模型、数学模型.此外,研究了rough正项几何规划的数学模型,以及解决多反而少的"悖论"的rough正项几何规划的算法,它可以化为一单项rough正项几何规划后再化为一个rough线性规划来求解.最后,通过数值例证明这一模型和算法的有效性.

基于Rough Set的目标快速识别方法

主要研究了基于粗糙集和支持向量机的模式分类技术,结合遥感图像中军用飞机目标识别进行了理论分析和实验研究。设计了基于粗糙集和决策有向无环图的支持向量机模式识别分类器,对分类的性能进行了分析研究,利用粗糙集理论中属性约简方法去除冗余属性,降低飞机特征维数,提出使用决策有向无环图支持向量机进行训练并对待识别目标预测。实验表明,本文提出的方法可提高识别速度及预测分类精度。

一种基于Rough集与SVM的目标识别方法

主要研究了基于粗糙集和支持向量机的模式分类技术,结合遥感图像中军用飞机目标识别进行了理论分析和实验研究。基于粗糙集和支持向量机算法的优势,设计了基于粗糙集和决策有向无环图的支持向量机模式识别分类器,对分类的性能进行了分析研究,利用粗糙集理论中属性约简方法去除冗余属性,降低飞机特征维数,提出使用决策有向无环图支持向量机进行训练并对待识别目标预测。

优化的Rough Set综合评价算法在房地产开发和销售中的应用

将优化的Rough Set综合评价算法属性的同分辨能力数引入到粗糙集评价,增加了评价的客观性,优化了评价算法,对于房地产开发的决策和综合评价有辅助作用。

Hydraulic model with roughness coefficient updating method based on Kalman filter for channel flood forecast

A real-time channel flood forecast model was developed to simulate channel flow in plain rivers based on the dynamic wave theory. Taking into consideration channel shape differences along the channel, a roughness updating technique was developed using the Kalman filter method to update Manning＇s roughness coefficient at each time step of the calculation processes. Channel shapes were simplified as rectangles, triangles, and parabolas, and the relationships between hydraulic radius and water depth were developed for plain rivers. Based on the relationship between the Froude number and the inertia terms of the momentum equation in the Saint-Venant equations, the relationship between Manning＇s roughness coefficient and water depth was obtained. Using the channel of the Huaihe River from Wangjiaba to Lutaizi stations as a case, to test the performance and rationality of the present flood routing model, the original hydraulic model was compared with the developed model. Results show that the stage hydrographs calculated by the developed flood routing model with the updated Manning＇s roughness coefficient have a good agreement with the observed stage hydrographs. This model performs better than the original hydraulic model.

Relationship between soil surface roughness and hydraulic roughness coefficient on sloping farmland

The soil surface roughness and hydraulic roughness coefficient are important hydraulic resistance characteristic parameters. Precisely estimating the hydraulic roughness coefficient is important to understanding mechanisms of overland flow. Four tillage practices, including cropland raking, artificial hoeing, artificial digging, and straight slopes, were considered based on the local agricultural conditions to simulate different values of soil surface roughness in the Loess Plateau. The objective of this study was to investigate the relationship between the soil surface roughness and hydraulic roughness coefficient on sloping farmland using artificial rainfall simulation. On a slope with a gradient of 10°, a significant logarithmic function was developed between the soil surface roughness and Manning＇s roughness coefficient, and an exponential function was derived to describe the relationship between the soil surface roughness and Reynolds number. On the slope with a gradient of 15°, a significant power function was developed to reflect the relationship between the soil surface roughness and Manning＇s roughness coefficient, and a linear function was derived to relate the soil surface roughness to the Reynolds number. These findings can provide alternative ways to estimate the hydraulic roughness coefficient for different types of soil surface roughness.

Surface Roughness Evaluation in Dry-Cutting of Magnesium Alloy by Air Pressure Coolant

In this paper, a studying of surface roughness in dry milling with air pressure coolant of wrought magnesium alloy AZ31B will be carried out. The effects of air flow, feed-rate per tooth, cutting velocity and number of inserts in a cutting tool on surface roughness have been examined. Surface roughness increases with increasing feed-rate per tooth and increasing number of inserts in the cutting tool. However, it is nearly unchanged under a specific range of cutting velocity in the experiment and improved by the flow of air cooling.

Generalizations of Rough Functions in Topological Spaces by Using Pre-Open Sets

Functions are a means to link or transport from a world to another world may be similarly or completely different from the other world. In this paper we addressed the issue of rough functions and the possibility of transfer it from the real line to the topological abstract view that can be applied to intelligent information systems. The rough function approach has not been studied much specially from a topological point of view. Here we developed a new type of topological generalizations of rough functions with reference to how it is used in medical applications. Considering that the function is in the original a relation can be based on a review of all circular functions from the perspective of relations. Accordingly, the dream that the generalizations of rough functions are transferred to all papers prior to a comprehensive computer application.

Role of Surface Roughness during Natural Convection

A computational study was performed in a two-dimensional square cavity in the presence of roughness using an algorithm based on mesoscopic method known as Lattice Boltzmann Method (LBM). A single relaxation time Bhatnagar-Gross-Krook (BGK) model of LBM was used to perform numerical study. Sinusoidal roughness elements of dimensionless amplitude of 0.1 were located on both the hot and cold walls of a square cavity. A Newtonian fluid of the Prandtl number (Pr) 1.0 was considered. The range of the Rayleigh (Ra) number explored was from 103 to 106 in a laminar region. Thermal and hydrodynamic behaviors of fluid were studied using sinusoidal roughness elements. Validation of computational algorithm was performed against previous benchmark studies, and a good agreement was found. Average Nu (Nusselt number) has been calculated to observe the effects of the surface roughness on the heat transfer. Results showed that sinusoidal roughness elements considerably affect the thermal and hydrodynamic behaviors of fluid in a square cavity. The maximum reduction in the average heat transfer in the presence of roughness was calculated to be 23.33%.

基于新型粗糙模糊集混合算法的装配式建筑构件供应商选择

装配式建筑构件的供应商选择是实现装配式建筑快速发展的关键。基于在专家权重未知的情况下,构建专家信誉-技术权重模型;基于装配式建筑的特点,构建指标评价体系;对专家评价值采用新型粗糙模糊集系统的方法进行处理,将[0,1]矩阵转化成区间模糊数矩阵,降低决策者的主观性和模糊性。在进行供应商选择排序中,提出一种TOPSIS-GRA-MARCOS的混合算法,计算各备选供应商的效用函数并对供应商进行择优。最后结合实例分析,证明了该方法的有效性和可行性。

区间粗糙数群组G1法的随机聚合求解及应用

针对复杂不确定环境下的群体评价问题,采用区间粗糙数表征专家偏好,在G1法的基础上,结合蒙特卡洛仿真技术,提出了一种随机模拟聚合算法.首先,通过随机抽样的方式模拟权重系数,并依据序相关性和区间粗糙数贴近度确定专家权重.其次,综合所有专家意见得到指标的最终权重,并将其与预处理后的指标值线性集结,求得一次模拟的综合评价值,据此判断被评价对象间的优劣.通过充分模拟得出优胜度矩阵,并从中推导出包含优胜概率的可能性排序,弥补了不确定信息环境下绝对排序呈现的不足.最后,通过算例说明了方法的有效性,并与现有方法对比阐述了所提方法的优势.

基于模糊粗糙数的变形球机器人方案配置

针对球形机器人在多需求非结构化环境下设计方案配置与选型中存在的主观性和不确定性问题,提出了模糊粗糙数与复杂比例评估(Complex Proportional Assessment,COPRAS)相耦合的方案评估方法。综合考虑方案设计时不同需求特征指标间的重要度关系,基于模糊粗糙数实现对需求特征指标的定量分析;采用COPRAS方法对所有备选设计方案进行综合评估,根据效用度指数得到所有备选设计方案的优先级排序,确定最优的配置方案,并以变形球机器人的选型为例进行了评估验证。结果表明,该方法具有较好的可靠性和实用性,为以后机器人设计方案的配置选型提供了有效参考。

选择性激光熔化成形(SLM)增材制造重熔次数对316L构件表面粗糙度及磨损性能的影响

重熔次数对选择性激光熔化增材制造构件表面粗糙度及耐磨性能有重要影响,研究其影响机理及确定经济重熔次数对发展选择性激光熔化增材制造技术具有重要意义。采用选择性激光熔化增材制造设备制备316L样件,在样件制备过程中分组进行0、1、2、3次激光重熔,对不同激光重熔次数下的样件表面利用三维轮廓扫描仪、扫描电子显微镜等进行表征,利用高速往复摩擦磨损试验机对样件进行摩擦磨损试验,利用电子分析天平测定磨损前后的质量,对表征及磨损性能进行分析。结果表明:SLM增材制造样件表面粗糙度随重熔次数的增加而逐渐减小,重熔后的平均表面粗糙度Sa、Sq、Sv、Sz值分别从0次重熔(正常打印)的8.437、11.88、82.68、252.2μm降低到三次重熔的6.18、7.735、37.597、104.36μm,分别降低26.75%、34.89%、54.53%、58.62%;随重熔次数的增加,平均摩擦因数逐渐增大,质量磨损量逐步减小;2、3次重熔样件在磨损试验的后半段瞬时最大摩擦因数出现了大于1的情况,这是由于在明显滑动之前出现“接点增长”,接点面积不断增大,致使摩擦力超过正压力。表面粗糙度及摩损性能出现上述变化的原因是,每次重熔会使表面吸附的粉末颗粒及熔接痕进一步融化融陷,直至消失,相邻熔道搭接处的“峰谷”现象得到抑制,孔隙和球化等缺陷逐渐被修复,表面变得更加平整。研究发现不同重熔次数对表面粗糙度和磨损改变的程度不同;定义了经济重熔次数概念,1、2、3次重熔次数对表面粗糙度和摩擦磨损性能综合改变率分别为ζ_(1)=26.61%、ζ_(2)=43.60%、ζ_(3)=23.68%,确定了经济重熔次数为2;根据研究成果,给出经济重熔次数在矿山机械上的应用实例。提出经济重熔次数概念,并给出经济重熔次数的应用实例,可为提高增材制造构件表面质量和耐磨性能提供新思路。

考虑客户需求偏好的产品创新设计方案多属性决策评价

为了使产品创新设计方案的评价和决策过程充分考虑客户的需求偏好特征,研究了考虑客户需求偏好的产品创新设计方案多属性决策评价方法。基于对客户需求偏好的分析,提出集成Kano模型和粗糙集理论的评价指标权重确定方法,提升了指标权重确定的合理性并使客户需求偏好信息有效地反映到评价过程中。考虑到方案评价中决策信息的模糊性和不确定性,构建了基于粗数决策信息处理的产品创新设计方案多属性决策灰色关联分析模型,通过融入上述指标权重并计算各方案的粗数区间差异系数来实现产品创新设计方案的优选。以电冰箱产品创新设计方案评价决策为例,验证了所提方法的可行性和有效性。

粗数——一种客户需求分析方法

为了更有效地分析客户需求,充分表达客户的真实感知,在分析现有需求权重确定方法的基础上,对原有粗数方法进行改进。重新定义了粗数,明确属性粗数和对象粗数的概念,并对粗数的新老定义进行对比分析;通过设定粗数下限阈值和粗边界阈值对需求项目进行约简,并提出将粗数的区间权重转变为单值权重的原则;以某款全自动洗衣机的改进为例,对粗数方法和相关原则进行验证。改进后的粗数方法实现了约简功能,相对直接求平均值得到的权重更能反映客户的真实感知。

基于变粒度权重与群决策的产品服务系统方案优选方法

面向不确定环境下产品服务系统设计方案的优选问题,提出了多属性指标变粒度权重评价和群决策相集成的评价方法。为有效地描述各种模糊、不确定知识,运用区间形式的粗糙数对属性指标及其绝对权重进行评价。建立了属性指标的耦合关系粗糙数可达矩阵后求解得到相对权重,并通过融合绝对权重来获得完善的单粒度属性指标权重。在此基础上,考虑到属性指标之间的重叠交互作用,构建了n-可加Choquet积分模型用于产品服务系统设计方案的评价。从贴近实际的角度出发,引入具有模拟谈判、协调机制的广义证据推理群决策方法,对各专家评价意见进行融合从而获得最终的优选结果。以注塑机服务系统设计方案优选过程为例,验证了所提方法的可行性与有效性。

固结磨料研磨K9玻璃表面粗糙度模型

表面粗糙度模型是研磨过程设计和工艺参数选择的重要依据,K9玻璃是应用最广泛的光学材料之一。建立研磨K9玻璃表面粗糙度模型有利于提高加工效率、节约生产成本。简化固结磨料研磨过程,基于研磨垫表面微结构,计算研磨过程中参与研磨的有效磨粒数和单颗磨粒切入工件深度,利用研磨过程中受力平衡,建立固结磨料研磨K9玻璃表面粗糙度模型。采用不同磨粒粒径和不同磨料浓度的固结磨料研磨垫以及不同压力研磨K9玻璃验证表面粗糙度模型。结果表明:固结磨料研磨K9玻璃的表面粗糙度与磨粒粒径、研磨压力1/3次方成正比,与研磨垫浓度2/9次方成反比。表面粗糙度理论值与试验值随研磨压力、磨粒粒径和研磨垫浓度的变化趋势吻合。利用该模型能够成功预测固结磨料研磨K9玻璃表面粗糙度,指导研磨过程设计及加工过程中研磨垫和工艺参数的选择,可靠性高。

QFD中用户需求到技术特性的映射方法

针对质量屋存在内在模糊性和不确定性的问题,引入了粗糙集理论中的基本原理.提出了粗糙数的概念,用于得到客观的用户需求重要度排序.将用户需求与技术特性的关联性测度和技术特性自相关性确定问题转化为决策系统中条件属性重要度的确定问题,并结合条件熵与互信息的概念,提出了一种可提高计算精度的属性重要度算法.为了实现技术特性的最优配置,建立并求解以可用资源决策值与目标值的偏差最小为优化目标的整数规划模型,从而实现由用户需求到技术特性的映射.最后,通过推力轴承设计实例验证了所提方法的可行性和有效性.