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Bus Rapid Transit System (Bus Rapid Transit, BRT) is a new type of transportation system. Mainly refers to own the appropriation right of way, seal movement, high-capacity vehicles, such as a series of features different from the traditional bus system. The development of BRT vehicles is an important measure to achieve sustainable urban traffic development. In this paper, BRT vehicles based on a set...
As the next generation of the Web language, XML is straightforwardly usable, which has been the de-facto standard of information representation and exchange over the Web. XML employs a tree-structured data model, and XML queries specify patterns of selection predicates on multiple elements related by a tree structure. Due to increase in web-based applications, searching for all occurrences of a twig...
In this paper, we focus on how to overcome cold-start problem in the traditional research of recommendations system(RS). The popular technique of RS is collaborative filtering(CF). While in real online RS, CF can't practically solve cold-start problem for the sparsity ratings dataset. In this paper, we propose a novel efficiently association clusters filtering(ACF) algorithm. Considering hybrid approaches,...
In this note, first we define the BL-algebra on a non-empty set Q. Then we define the Bl-general fuzzy automata (Bl-GFA), by using the notions of BL-algebra and general fuzzy automata. Then we present some connections between the BL-general fuzzy automaton theory and the hyper structure theory. Finally we introduce a hyper BCK-algebra which is induced by a BL-general fuzzy automaton and we study the...
Aiming at the knowledge mining from fuzzy and uncertain information, the definition mode and properties of the fuzzy formal context are discussed in the paper. The method of constructing the fuzzy concept lattice of the fuzzy formal context is proposed, in that the definition of fuzzy product concept is the core: the intents of two concepts are combined to form the intent of the product concept; using...
Hepatitis patients are those who need continuous special medical treatment to reduce mortality rate. Using clinical test findings data and machine learning technology such as Support Vector Machines (SVM), the classification and prediction of their life prognosis can be done. However, we cannot pledge that all the features values in the data are correlated to each other. Therefore, we incorporate...
Relevance feedback is an iterative search technique to bridge the semantic gap between the high level user intention and low level data representation. This technique interactively determines a user's desired output or query concept by asking the user whether certain proposed 3D models are relevant or not. For a relevance feedback algorithm to be effective, it must grasp a user's query concept accurately...
Based on the characteristics of many factors with uncertainties in flood control, multi-objective fuzzy optimal theory and method is introduced, and multi-objective fuzzy optimal selection model of flood control's projects of storage and detention basin is established, and the model is applied in actual flood control, the problem of multi - objective decision system affected by certain factors and...
In this paper, linear elevator driven by permanent magnet synchronous linear motor (PMLSM) is used in fuzzy PID control method, in which it is to adopt the magnetic guidance system to control the PMLSM gap which changed frequently, and it can impact the vertical thrust and control the level vibration and noise in the process of start, operation, and stop to make passenger comfortable. Matlab modeling...
The magnetic levitation device which has non-contact characteristics, is used to replace the traditional guiding equipment, it would be applied in linear elevator to maintain a constant air gap of linear motor, and to eliminate mechanical vibration. In order to solve nonlinear problems of maglev device, feedback linearization control and fuzzy sliding mode control method is adopted to control the...
Annual runoff forecasting is very important for improvement of the management performance of water resources: high accuracy in runoff prediction can lead to more effective use of water resources. The purpose of this study is to apply the adaptive network based fuzzy inference system (ANFIS) model to forecast annual runoff of Yamadu hydrological station in Xinjiang Province, China. The subtractive...
An object-oriented implementation of an original model of knowledge representation scheme is described in the paper. The model is based on the high-level Fuzzy Petri nets and supports three forms of reasoning: inheritance, recognition and intersection search. The model is suitable for knowledge base and inference machine design in intelligent systems for real-world tasks that deal with fuzzy, vague,...
Based on the complex network theory, we proposed a clustering algorithm based on content similarity. Firstly, the Chinese documents are represented by the vector-space model, and the content similarity between any two documents is computed by the cosine similarity. Consequently, the network node is defined as a document, and the edge weight is defined as the similarity obtained by the cosine similarity...
On the base of the research and summarization of the pedagogical exercitations of vocational business Japanese major of Eastern Liaoning University, the pedagogical exercitations quality of business Japanese major is evaluated comprehensively in the article, by taking use of models and level analysis of multi-level fuzzy comprehensive evaluation. According to actual characteristics and relative documents,...
In this paper, an ω-convergence theory of molecular nets in an ω-molecular lattice is established. By means of the ω-convergence theory, some important characterizations with respective to the ω-closed sets, ωT2 separation and (ω1, ω2)-continuous mappings are obtained.
Conventional gross error detection methods are mainly based on Gauss-Markov model and Least Squares Estimation, and are not adapted to gross error detection for control points of satellite remote sensing images, due to the serious ill-condition of satellite remote sensing imaging model and many iterations in the solving process. This paper proposed a method automatically detecting gross error of control...
In this paper, we study the problems about fuzzy degrees of fuzzy n - cell numbers, which can be used in ranking uncertain multi-channel digital signal information. Firstly, we introduce concepts of vector-valued fuzzy degrees and weight (number-valued) fuzzy degrees of fuzzy n - cell numbers, and then investigate their properties. At last, in order to be conveniently used in applications, we give...
Map-Matching, integrates the vehicle positioning data with digital road network, is an important positioning technique in the vehicle navigation system. An adaptive-fuzzy-network based on C-measure map-matching algorithm and its advantages were briefly summarized firstly, in which the C-measure was defined to represent the certainty of the car's existence on the corresponding road. But, as this algorithm...
The nitrifying process (NP) is an important step in dinitrochlorobenzene production. This paper presented an intelligent optimization control system (IOCS) to implement the modeling, optimization, and control of the NP by improved back-propagation neural networks, c-means clustering, genetic and chaos approaches. The results of actual runs demonstrate the validity of the system.
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