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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...
On the basis of identifying macroscopic tax burden rate, income tax rate and type of dual tax exemption as the three major indices, this paper brings forward a new approach of fuzzy cluster analysis for tax planning for location of foreign direct investment. As one of the fuzzy decision approaches, the fuzzy cluster analysis makes use of fuzzy equivalent relation to classify the objects into different...
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...
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...
This paper describes knowledge extraction process using decision tree technique that provides highly interpretable and a good accuracy in incomplete information system. In previous study, many real world data sets have incomplete information which attempt to impute some values or simply deleting directly the missing values. This incomplete information introduces uncertainty into decision modeling...
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...
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...
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...
In making decision, fuzzy information should be filtered to strengthen or weaken the influence of some factors according to some decision consciousness. An axiomatic system for fuzzy information filter operators is put forward after analyzing the essential feature of the existing filter methods. A general way to establish a fuzzy information filter operator is given, and the applications of filter...
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