Research on supplier evaluation and selection based on fuzzy hierarchy analysis and grey relational analysis

Considering the disadvantages of selecting evaluation index of supplier based on old purchase relation and in view of transformation of relation between manufacture and supplier under the dynamic, cooperative, competitive and quickly response environment, research on supplier selection evaluation was presented based on enterprise capability, cooperation degree and service level from the perspective of cooperative partnership and coordination, and the evaluation index system was established. A more objective and veracious supplier selection and evaluation method based on fuzzy analysis hierarchy process and grey relational analysis was developed, and then empirical research on electric equipment manufacturer was explored to analyze the supplier selection and evaluation.

Screening of Oilseed and Vegetable Dual-purpose Rapeseed Combinations Based on Grey Relation Analysis and Cluster Analysis

To screen out the rapeseed(Brassica napus) combinations that are suitable for the production of both oilseed and vegetable, we carried out a field experiment for 11 new combinations(hybrids) of rapeseed and then performed grey relation analysis and cluster analysis on 12 traits including the yield and quality of young stem,seed yield, and several agronomic traits after harvesting of young stem. The results showed that A11, A7, and A4 had higher main stalk yield than other combinations.The young stem/leaf ratios of A11, A5, A7, A4, A3, and A1 were in line with the quality requirements for young stem commodity. The soluble sugar content of A2,A8, and A10 was higher than that of CK(Fengyou 737), and the seed yields of A4,A3, A2, A1, A5, and A6 were higher than that of CK. The 11 rapeseed combinations were classified into 3 grades by grey relation analysis and cluster analysis. Two combinations, A4(Y20A×95C4R) and A11(3194A×09-5R), showed the weighted relation degrees higher than 0.95, which were clustered into grade I by cluster analysis. They had good agronomic traits and good performance as both oilseed and vegetable. A8, A5, A3, A7, A2, A10, A6, and A1 were clustered into grade Ⅱ and A9 into grade Ⅲ. In this study, the oilseed and vegetable dual-purpose rapeseed combinations were screened out based on grey relation analysis and cluster analysis,which can provide reference for the breeding of oilseed and vegetable dual-purpose rapeseed combinations.

A coin-tap method of composite materials non-destructive testing based on improved grey clustering

Aiming at the problems of low reliability and complex operation of traditional coin-tap test of composite material,this paper introduces the grey system theory and achieves better performance.The response signals of coin-tap are classified through the grey clustering based on relation analysis,and corresponding improvements are made to the calculation method of the relation degree of nearness.First,the time history of acceleration is taken as the system behavior sequence.The improved correlation calculation method is used to solve the relation degree of nearness between the sequences,and the matrix of degree of grey relation is constructed based on this.Then,the sequence groups are summarized through the matrix,and the response signals of coin-tap are qualitatively classified according to the location of the reference sequence.Finally,the defect detection of composite materials is completed without pre-testing.The test results show that the accuracy of the coin-tap test based on improved grey clustering reaches 100%,which simplifies the operation steps while ensuring the reliability of the coin-tap test results.

The application of fuzzy equivalence relation based on the quotient space in cluster analysis

A fuzzy clustering analysis model based on the quotient space is proposed. Firstly, the conversion from coarse to fine granularity and the hierarchical structure are used to reduce the multidimensional samples. Secondly, the fuzzy compatibility relation matrix of the model is converted into fuzzy equivalence relation matrix. Finally, the diagram of clustering genealogy is generated according to the fuzzy equivalence relation matrix, which enables the dynamic selection of different thresholds to effectively solve the problem of cluster analysis of the samples with multi-dimensional attributes.

System portfolio selection based on GRA method under hesitant fuzzy environment

The hesitant fuzzy set(HFS) is an important tool to deal with uncertain and vague information.In equipment system portfolio selection, the index attribute of the equipment system may not be expressed by precise data;it is usually described by qualitative information and expressed as multiple possible values.We propose a method of equipment system portfolio selection under hesitant fuzzy environment.The hesitant fuzzy element(HFE) is used to describe the index and attribute values of the equipment system.The hesitation degree of HFEs measures the uncertainty of the criterion data of the equipment system.The hesitant fuzzy grey relational analysis(GRA) method is used to evaluate the score of the equipment system, and the improved HFE distance measure is used to fully consider the influence of hesitation degree on the grey correlation degree.Based on the score and hesitation degree of the equipment system,two portfolio selection models of the equipment system and an equipment system portfolio selection case is given to illustrate the application process and effectiveness of the method.

Aggregation Similarity Measure Based on Hesitant Fuzzy Closeness Degree and Its Application to Clustering Analysis

In order to distinguish with effect different hesitant fuzzy elements(HFEs), we introduce the asymmetrical relative entropy between HFEs as a distance measure for higher discernment. Next,the formula of attribute weights is derived via an optimal model according to TOPSIS from the relative closeness degree constructed by the discerning relative entropy. Then, we propose the concept of cocorrelation degree from the viewpoint of probability theory and develop another new formula of hesitant fuzzy correlation coeffcient, and prove their similar properties to the traditional correlation coeffcient.To make full use of the existing similarity measures including the ones presented by us, we consider aggregation of similarity measures for hesitant fuzzy sets and derive the synthetical similarity formula.Finally, the derived formula is used for netting clustering analysis under hesitant fuzzy information and the effectiveness and superiority are veri?ed through a comparison analysis of clustering results obtained by other clustering algorithms.

Decision-oriented Usability Evaluation of an Operation Interface: Model and Application

To support multi-factor decision problems about usability evaluation, especially when studies fall short of comparable objects, a fuzzy synthetic evaluation model is explored in this paper. Grey relational analysis （GRA） is brought in the model to calculate weight vectors of the usability factors. And membership functions of a remark vector are constructed in the context of use of the operation interface. The present method is applied in usability evaluation of operation interface and is proved to be effective. The comprehensive usability gradation of the operation interface to good is 0. 616 4 that meets the requirements in practice.

STUDY ON MEASURE OF TECHNICAL INNOVATION ABILITY IN MEDIUM AND SMALL MANUFACTURING ENTERPRISES

Measure index system of technical innovation in medium and smallmanufacturing enterprises is established according to principles of exploration, adaptability,standardization, generalization, feasibility, comparability and combination of economic benefit andcontinual development. It includes index of technical innovation capacity, informationaladministration on technical innovation, and investment of technical innovation, economic benefit,green technical level, social contribution and other influential indexes. Approach to measure oftechnical innovation in medium and small manufacturing enterprises is presented based on combinationof grey relation and fuzzy hiberarchy analysis, and conclusions are drawn based on practicalanalysis of 20 medium and small enterprises, which provides the basis for the medium and smallenterprises to select technical innovation policies and the government to constitute relativepolicies.

Optimum Design for the Magnification Mechanisms Employing Fuzzy Logic-ANFIS

To achieve high work performance for compliant mechanisms of motion scope,continuous work condition,and high frequency,we propose a new hybrid algorithm that could be applied to multi-objective optimum design.In this investigation,we use the tools of finite element analysis(FEA)for a magnificationmechanism to find out the effects of design variables on the magnification ratio of the mechanism and then select an optimal mechanism that could meet design requirements.A poly-algorithm including the Grey-Taguchi method,fuzzy logic system,and adaptive neuro-fuzzy inference system(ANFIS)algorithm,was utilized mainly in this study.The FEA outcomes indicated that design variables have significantly affected on magnification ratio of the mechanism and verified by analysis of variance and analysis of the signal to noise of grey relational grade.The results are also predicted by employing the tool of ANFIS in MATLAB.In conclusion,the optimal findings obtained:Its magnification is larger than 40 times in comparison with the initial design,the maximum principal stress is 127.89MPa,and the first modal shape frequency obtained 397.45 Hz.Moreover,we found that the outcomes obtained deviation error compared with predicted results of displacement,stress,and frequency are 8.76%,3.6%,and 6.92%,respectively.

基于CNN-GRU组合神经网络的数控机床进给系统热误差研究

热变形引起的误差是影响数控机床精度的主要因素之一。为了减小热误差对数控机床精度的影响,提出一种基于CNN-GRU组合神经网络的热误差预测方法。通过热误差实验,采集螺旋曲面专用数控机床直线进给系统的温升数据和热误差数据;利用模糊C均值聚类和灰色关联度分析筛选进给系统温度敏感点;以温度敏感点的温升数据和进给系统热误差为数据样本,建立CNN-GRU热误差预测模型。为验证模型的准确性和实用性,与基于CNN-LSTM和基于LSTM的传统热误差预测模型进行预测对比分析,结果表明CNN-GRU模型预测结果的平均绝对误差、均方根误差和决定系数均优于CNN-LSTM模型和LSTM模型,具有较高的预测精度和鲁棒性。提供的热误差模型可为后续误差补偿奠定基础,为数控机床的热误差预测提供思路。

露天煤矿区噪声污染监测优化布点研究

为有效减轻露天煤矿区噪声污染对周边居民的生活影响,提出露天煤矿区噪声污染监测优化布点方法。通过分析历史噪声污染数据,根据不同监测点位的模糊等价关系进行聚类分析,将属于同等特征的监测点归类到一个范围内;采集所有监测点捕捉的噪声数据,将序列端点的噪声污染监测误差值作为参考,从而可以监测到布点各范围内贴近百分位标准的最大化目标,将噪声污染监测范围、监测点数量以及监测精准度作为优化目标,建立优化布点的目标函数;对目标函数进行求解,获取的解即为最优布点。仿真实验表明:优化布点后,对露天煤矿的噪声特征捕捉能力强,噪声污染监测精准度较高。

Employment Quality EvaluationModel Based on Hybrid Intelligent Algorithm

In order to solve the defect of large error in current employment quality evaluation,an employment quality evaluation model based on grey correlation degree method and fuzzy C-means(FCM)is proposed.Firstly,it analyzes the related research work of employment quality evaluation,establishes the employment quality evaluation index system,collects the index data,and normalizes the index data;Then,the weight value of employment quality evaluation index is determined by Grey relational analysis method,and some unimportant indexes are removed;Finally,the employment quality evaluation model is established by using fuzzy cluster analysis algorithm,and compared with other employment quality evaluation models.The test results show that the employment quality evaluation accuracy of the design model exceeds 93%,the employment quality evaluation error can meet the requirements of practical application,and the employment quality evaluation effect is much better than the comparison model.The comparison test verifies the superiority of the model.

普通菜豆品种苗期抗旱性鉴定

以不同来源的普通菜豆品种为材料,采用盆栽法,设正常供水和反复干旱2种处理,测定11项生理指标,采用灰色关联度理论进行苗期抗旱性指标筛选,通过加权抗旱指数(weighted drought-resistance index,WDI值)和抗旱度量值D(drought resistance comprehensive evaluation values,D值)对供试材料进行抗旱性综合评价并通过聚类分析划分抗旱等级。结果表明,不同指标与综合抗旱指数的关联度大小依次为叶片相对含水量(0.7726)、PSII最大量子产量(0.7607)、叶绿素含量(0.7435)、反复干旱存活率(0.7341)、生物量(0.7329)、茎叶干重(0.7314)、根干重(0.7192)、气孔导度(0.7159)、根冠比(0.7092)、株高(0.7086)、叶面积(0.6910)。基于加权抗旱指数和抗旱度量值D的评价结果存在一定差异,但不同材料的抗旱性排序大体一致。根据抗旱度量值D将供试材料分为高抗、中抗、敏感和高敏感4个级别,各占总数的10%、6%、58%和26%。综上所述,叶片相对含水量、PSII最大量子产量和叶绿素含量等10项指标可用于普通菜豆苗期抗旱性综合评价;加权抗旱指数与抗旱度量值D两种综合指标相结合能够提高鉴定结果的可靠性;50个参试普通菜豆品种中,白金德利豆、跃进豆、兔子腿、圆白菜豆和260205抗旱性强。

水稻植株与CH4排放的相关因子及模糊聚类分析

通过对不同水稻品种甲烷排放量与水稻通气组织相关性分析,确定聚类指标,运用离差平方和聚类分析方法对水稻品种进行聚类,初步探讨了水稻植物学特性与甲烷排放的相关性。结果表明,早、晚稻不同水稻品种甲烷排放量与植株显著相关的指标是不同的。早稻品种植株第2节间茎秆维管束总面积、第2节间茎秆壁厚、第2节间叶鞘横切面积/节间横切面积、第2节间叶鞘气腔面积/叶鞘与茎秆横切面积之和4个指标与甲烷排放量呈显著相关关系。晚稻品种植株株高与茎秆长度、第3节间茎壁横切面积/节间横切面积、第3节间茎壁髓腔面积/节间横切面积、第3节间叶鞘横切面积/节间横切面积、第3节间叶鞘维管束面积/节间横切面积、第3节间叶鞘气腔面积/茎壁横切面积、第3节间茎秆维管束面积/茎秆横切面积8个数量指标与甲烷排放量都呈显著相关性。分别以上述相关因子为聚类指标,对早、晚稻品种进行聚类分析,都可分为甲烷排放量高、中、低3类,与实测结果吻合度分别为87.5%和90%。因此,所选指标作为水稻品种甲烷排放量等级聚类指标是可行的,为水稻品种甲烷排放量定性分析提供了实践及理论依据。本研究将为水稻品种甲烷排放量等级区分提供依据,为高产杂交稻、超级稻的育成与推广提供环境学支撑。

基于聚类思想的电能质量综合评估

针对目前电能质量综合评估方法中人为因素影响较大和评估模型较为复杂的问题,提出了基于聚类思想的电能质量综合评估方法。采用模糊聚类分析法进行电能质量的综合评估,以电能质量的各项评估指标作为特征值,将具有已知电能质量等级的数据源加入样本数据集进行动态聚类,根据'物以类聚'的原则,通过选取最佳阈值,得到包含各个电能质量等级的聚类结果,实现对样本数据的综合评估。通过对两组实例数据的计算,验证了方法的有效性。该评估过程无人为因素干扰,且模型简单、扩展性好,适应区域电网电能质量的统一评估,具有很好的应用前景。

基于模糊商空间的聚类分析方法(英文)

在商空间理论基础上,提出了基于Fuzzy相似关系和归一化距离的聚类分析方法,用以解决复杂系统的数据结构分析问题.得到了如下结论:(1)通过引入基于Fuzzy相似关系和归一化距离的分层递阶结构,建立了严格的聚类分析理论描述;(2)给出了有效的分层递阶结构聚类的快速算法;(3)给出了两个Fuzzy相似关系或由两个归一化距离诱导的Fuzzy相似关系是同构的充分条件.其中所研究的理论和方法适应于建立在相似关系之上的任何复杂系统的数据结构分析.

用中子活化分析法研究古钧瓷和古汝瓷起源关系

将 5 0个古汝瓷、古钧瓷和仿古瓷的釉和胎等样品进行中子活化分析 ,测定每个样品的 36种微量元素含量 ,将这些测量数据进行模糊聚类分析 ,得到动态聚类图 ,以确定它们的分类和材料来源。结果表明 ,这批样品虽然跨越几百年 ,釉色不同 ,出自不同的窑口 ,但古汝瓷胎和古钧瓷胎同类 ,古汝瓷釉和古钧瓷釉同类。胎料产地集中 ,釉料产地分散些 ,釉料产地覆盖了胎料产地。古汝瓷和古钧瓷有着基本相同的原料来源 ,而且这些材料来源是长期稳定的。现代钧瓷多数与古钧瓷相近 ;2个现代汝瓷和古汝瓷相似 ,1个与古汝瓷疏远 ;景德镇瓷与汝瓷、钧瓷无关。

基于灰色和模糊理论的中医肝炎肝硬化诊断方法及其比较

我们将灰色理论中的灰色关联分析和模糊理论中的模糊聚类应用于中医肝病诊断中,给出了肝炎肝硬化客观化诊断的两个解决方案,并通过上海地区采集的900例样本对这两种方法进行了检验,通过与专家组诊断的结果对比表明这两种方法都具有较好的诊断正确性。研究表明,模糊技术对中医现代化、客观化的发展具有重要意义。

古耀州瓷釉起源的中子活化分析

用中子活化分析(NAA)技术测定古耀州瓷釉样品和耀州窑博物馆附近粘土矿样品中29种元素的含量,将这批NAA数据进行模糊聚类分析,得到动态模糊聚类分析图。结果表明,这批时间跨越数百年、釉色迥然不同、出自不同窑口的古耀州瓷釉的原料来源比较复杂。其中,唐代的黑釉原料产地非常集中,青釉和白釉原料产地分散;宋代兔毫瓷釉和酱色瓷釉的原料产地和唐代的黑色瓷釉接近。宋代的青瓷釉和金代的月白瓷釉原料产地较为集中,且有别于唐代。耀州窑唐三彩的原料产地稍分散,它们与其它耀州瓷釉样品的原料来源明显不同。

改进的灰熵关联度算法用于变压器故障诊断

为解决传统灰熵关联度算法中标准序列难以确定、故障隶属度分辨率差等问题,提出新的灰熵关联度诊断算法。采用C-Means模糊聚类算法,将若干典型样本组成的故障空间聚成c个灰类,并得到c个最优聚类中心。以上述聚类为基础,将主成分分析应用于灰熵关联度,建立一种以模糊聚类和主成分分析为基础的灰熵关联度诊断变压器故障的新模型。实践结果表明,文中方法能大幅度提高故障隶属度的分辨率,故障诊断准确度达到了94%,从而为变压器故障诊断提供一条新的有效途径。