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In this paper, the fuzzy cluster analysis, fuzzy analytic hierarchy process and fuzzy house of quality are integrated, which are introduced in the quality assurance of service products design. Firstly, the customer quality requirements are made a hierarchical division by fuzzy clustering. Based on this, used the fuzzy analytic hierarchy process to determine weights of the customer quality requirements...
Since its application in the government-invested projects in China, the agent construction system has made remarkable achievements. However, the relative risk research in this area is still relatively backward. According to the characteristics of agent construction project, the risk factors and appropriate consequences are summarized, and the concept of the combination weights is put forward. Based...
Many factors affect the technology innovation power. But every factor's impact degree is vague. The traditional cluster analysis method can not reasonably evaluate these factors' impact degree. Based on fuzzy cluster analysis and matlab software, the paper can obtain more reasonable evaluation results about various factors' impact degree on technology innovation power. The evaluation results can give...
The fuzzy cluster analytical method is introduced here. By using this method the environmental monitoring sections of surface water of the three Liao River branches in Fuxin territory - the Liu River, the Raoyang River and the Yangximu River, were analyzed. Among the nine monitoring sections, the most polluted is at the downstream area of the Yangximu River, all of the pollution indexes, such as ammonia...
For the subjectivity in weight evaluation which is in the methods of Analytic Hierarchy Process, Factor Analysis and Fuzzy Cluster Analysis, etc widely used during the evaluation of enterprises' independent innovation, the Catastrophe Progression Method(CPM) is introduced to evaluate the capacity. The evaluation process of CPM is given and then an empirical research with large & medium-sized industrial...
How to choose the location for dry port is a practical problem, which becomes more and more important. In this paper, taking the hinterland of Western Side of the Taiwan Straits Port Group as a case studied, we use Fuzzy Clustering to rank alternatives in order to lay out the optimal location of dry port. After studied in the situation of regional economy and transportation, firstly an evaluation...
Directing at the complex structure, cockamamie production technology and great operation difficulty of vertical roller mill, this paper constructs the fault expert system to guide and optimize the grinding process. First, the expert database is established with fuzzy cluster analysis, principal component analysis (PCA) and tendency analysis. With support vector machine (SVM) regression, the multiple...
In this paper we introduce a novel fuzzy vector quantization algorithm that tries to solve certain problems related to the implementation of fuzzy cluster analysis in vector quantization. The proposed method employs an objective function that combines the merits of fuzzy and crisp clustering in a uniform fashion. The algorithm's structure encompasses two basic design strategies. The first one concerns...
Developing highly interpretable commonly presents significant challenges to decision support system. In previous research work, partial information had provided poor result in the problem of learning classifiers. The behavior of some learning algorithm may only be explored by uncertainty analyses. We propose a novel information extraction by utilizing fuzzy measure in active learning to focus on the...
An improved fuzzy theory is presented to realize product cluster of OEM. The research is based on the fuzzy cluster arithmetic, and the optimal cluster number of product is obtained using the F-statistic to avoid the disadvantage of uncertainty of the parameter λ. This model is realized through the Excel software, and its validity and practicability are verified by the instance.
In this paper an water quality and water quantity synthetical evaluation index system is established. Information entropy is used to determine weight of each factor of effect water quality and water quantityand fuzzy cluster analysis as well as comprehensive assessment is developed to evaluate the local groundwater environment. The results show that more reasonable and reliable conclusions are made...
By analyzing the evaluation method and working characteristics of the design courses in universities, a fuzzy comprehensive evaluation method is advanced, which based on fuzzy clustering analysis. According to the fuzzy membership degree theory, the author translated the qualitative evaluation into quantitative evaluation. Through this, the problem that the qualitative and quantitative evaluation...
A grid system is a dynamic and distributed environment which contains mass entities and resources, and is involved in large-scale data exchanges and resource sharing. Thus in grid system, information security is a prime concern. Trust mechanism is a main part of grid security. Taking the fuzziness of behavior trust into consideration, this paper introduces fuzzy theory to grid trust and proposes a...
Fuzzy cluster analysis principle and calculation approaches are introduced. This method is applied to evaluate the change trend of water environment of urban water supply source. The fuzzy cluster analysis results are that water environment quality of water supply source was better in 1997, 1998 and 1999, but wore in 1996 and 2000. From this fuzzy clustering results, it can be known that the change...
For the diversity of the index system, papers propose the concept of absolute equivalence based on the idea of attribute reduction in rough set theory; then the definition of the lambda-equivalence between two index systems which have inclusion relation is given by the fuzzy cluster analysis method. A discriminance is given, and finally a case study.
By using method of fuzzy mathematics to quantitatively determine fuzzy relationship between samples, the fuzzy clustering analysis is able to reflect the world objectively and accurately. In this paper, combing the ideas of quotient space theory, hierarchical structure and fuzzy synthetic evaluation, a new model of fuzzy clustering analysis is proposed based on quotient space, which uses theory of...
To determine typical flood hydrographs by making full use of observed data, the fuzzy c-means (FCM) clustering algorithm is used to cluster all observed hydrographs into several clusters, each of which gives a typical hydrograph. Because it is prone to fall into local optimum, especially when dealing with massive high dimensional data as in the flood hydrograph classification, the conventional FCM...
It has been well recognized that the load classification has great effects on the load model building when it applied the statistic synthesis method to construct the load model. However, it is also widely known that the load classification is a quite difficult problem due to the primal data limited and singleness, for example the daily load consumption data which obtained from SCADA are very simply...
This paper presents the framework and results of the cluster analysis of a selected set of Arabidopsis (a leafy plant) genes in the presence of insect-feeding and wounding stress. We outline the methodology by which we coupled the results of a microarray experiment with the Gene Ontology (GO) annotations of each gene to produce aggregate relational data. Our method combines two relational matrices:...
Groundwater environment function regional partition is of important reference meaning to protection,exploitation, utilization of groundwater.This paper uses fuzzy cluster analysis to study function regional partition of groundwater environment, set up fuzzy similar matrix by oushi-distance method,and use different lambda to compartmentalize different function regions on groundwater environment on...
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