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The design of assembly tolerance is directly related to the product quality and product manufacturing cost. In order to carry out a reasonable distribution of the assembly tolerance, this paper considers synthetically the product quality loss and product processing cost. The fuzzy weight of the quality loss and product processing cost is calculated based on fuzzy number. Meanwhile, the weight of experts...
The paper pays close attention to the application of the modal logic operators of “necessity” and “possibility” to determine the concept of a cardinality of an interval-valued fuzzy set. Consequently, the operators are used for constructing the ratio-based effectiveness and relevancy indices in web searching process.
The deficiency of measures which are used for the safe operation of power cables is analyzed in this paper, and then the fuzzy decision trees is applied to the field. This paper introduces the fuzzy ID3 algorithm and proposes the method of power cable insulation condition assessment based on fuzzy decision tree. What's more, a model based on original data monitored on 35kv cable in Jilin power system...
Clustering is a fundamental technology in Artificial Intelligence. Radial basis function neural network (RBFN) is a kind of Artificial Neural Network with simple structure. In this paper, we introduce supervised clustering into RBFN and create a novel supervised fuzzy clustering network based on linear regression model which shows better results in regression task. We propose a novel local modeling...
The quality of underwater images is directly affected by water medium, atmosphere medium, pressure and temperature. This emphasizes the necessity of image segmentation, which divides an image into parts that have strong correlations with objects to reflect the actual information collected from the real world. Image segmentation is the most practical approach among virtually all automated image recognition...
Because analog circuits such as abnormal noise contained in the information, to the support vector machine to build up the optimal classification brings difficulties, this paper proposes a new method for analog circuit fault diagnosis. First of all, time-domain signal extraction circuit statistical parameters, a set of fault characteristics and then use kernel density estimation method, proposed a...
This paper uses fuzzy clustering iteration method to cluster the data of many years rainfall, and then considers sensitiveness coefficient as the foundation of calculating weight, which affects the crop output by valid rainfall in each growth stage. On this base, by means of the principle and method of R/S analysis, this paper establishes the predicting model to research on time series data mining...
By analyzing the existing problems of program decision about choosing fracturing wells in oil field and the factors of influencing the fracturing effect, establish the model of fuzzy comprehensive evaluation based on analytic hierarchy process to certain the weighing, and verify the rationality of the method through examples, which provide a new train of thought for scientificalness and accuracy of...
A fuzzy approach to reinforcement learning in multi-objective optimization problem of freeway traffic flow control and dynamic route guidance is presented. The problem domain, a freeway network integration management application considers the efficiency and equity of system, is formulated as a distributed fuzzy reinforcement learning problem. The Gini coefficient is adopted in this study as an indicator...
The following topics are dealt with: computer theory; image processing; software engineering; wireless network; computational geometry; fuzzy set theory; and data handling.
The paper presents a method for calculating fuzzy time interval in the hybrid Petri net model of train operation system. Owing to the system hybrid attributes, hybrid Petri net is used to model the train operation system. In order to quantitatively analyze various uncertainty factors of the system, the theory of probability-possibility transformations is introduced to calculate fuzzy time interval...
At first, in this paper AHP and Fuzzy Synthetic Evaluation Method are abstracted with Mathematics tools and packaged then evaluation index is filled by the system administrator with semi-automatic mode applying open database technology the filled data are related to the packaged algorithm. Finally the paper implements the evaluation based on B/S.
Optimization of steel structures based on conventional methods is not trivial, mostly when the optimization procedure deals with linguistic variables. Off-Centre Brace (OCB) system is a particular braced system that consists of three brace elements. The non straight diagonal member of this system introduce eccentricity to the system. It allows architects to have more opening. In designing this system,...
Fuzzy sets, rough sets and vague sets are all the extension of classical sets theory. They extend the application of set theory to vague and uncertain problem. This paper introduced the ideas of fuzzy set, rough set and vague set and discusses the differences and relationship between them. The development and application of the three theories were also proposed.
Aiming at the deficiencies of standard genetic algorithm, an improved algorithm is presented. Through improvement and expansion of genetic operators of standard genetic algorithm, the study enhances the operating efficiency and accuracy of fuzzy clustering analytical method which based on the improved genetic algorithm, applies it in the human resource management system, and conducts scientific and...
With rapid development of information technology, the information system has been widely applying in government, national defense and economic sphere. The security problem of information system is more and more related to the economic development. Therefore, evaluating risk effectively, selecting effective defense measures and defending information threats actively are the key points of resolving...
For the collaborative filtering algorithm at present, since the uses' ratings of the item are sparse and the users' interests change over time, the similarity calculation of the items or the users is not accurate, an improved collaborative filtering algorithm is suggested. It uses the fuzzy clustering algorithm to cluster users, and transforms individual user's ratings on items into a group of similar...
Following the Rosedfeld approach in investigating convex fuzzy sets, two new kinds of definitions of convex fuzzy sets are proposed in this paper. First, by the use of the relations between fuzzy points and fuzzy subsets, the definition of a convex (s,t]-fuzzy sets is introduced and their properties are discussed. The acceptable non-trivial concepts obtained in this manner are the convex (∈,∈νq) -fuzzy...
Ultrasound imaging technique is widely used in the obstetrics and gynecology for the first-line screening modality. However, the poor image quality usually leads to the interpretation of the disease and the abnormal lesions difficulty. The objective of this study is to apply imaging processing techniques for the improvement of the visual perception ability of ultrasound images. In this experiment,...
A distance between Vague sets presented in this paper. While the material choice was being made, the distance between Vague sets was the measure in evaluating whether the material performance was close to the expected performance. The less the value of distance is, the better the chose degree between the material performance and the expected performance is. Theories of Vague sets to new method of...
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