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Document similarity calculation methods are closely related to specific applications. Document-similarity based topic detection in BBS needs to solve two problems: first, to highlight words which are rich in topic information; second, to overcome the adverse impact of huge variance in text length among BBS texts. This paper proposed a novel approach to address the issues: First, the features are divided...
Feature extraction is one of the most important issues for designing content-based image retrieval systems. In this paper, we present a method of extracting feature to retrieve images. In the first step of the proposed method, bound is introduced to mark the contour of the object. The center and the circumcircle of the object can be obtained from the bound. The principal angle of the object is computed...
This paper proposes a web-based On Line Analyse Process (OLAP) structure due to the weaknesses of OLAP system within the conventional Client/Server(C/S) structure. Studied with actual examples, a multidimensional model of web-based OLAP drilling analysis system has been designed, by applying the methods of link between Office Web Components and analysis server, various OLAP analysis operation through...
Following the success of the 1st International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2002) in Singapore, FSKD 2005 in Changsha, FSKD 2006 in Xi'an, and FSKD 2007 in Hainan, FSKD 2008 in Jinan, and FSKD 2009 in Tianjin, FSKD 2010 was held jointly with the 6th International Conference on Natural Computation (ICNC 2010) on 10–12 August 2010 in Yantai, China. FSKD 2010 attracted 1306...
In the research of projection pursuit for seismic comprehensive forecast, the projection pursuit regression (PPR) algorithm is one of most applicable methods. But the algorithm is very complicated. By partial smooth regressions for many times, it needs much computation and complicated extrapolation, so it is easily trapped in partial solution. In this paper, some modifications are given to optimize...
The traditional sequential pattern algorithms often have some limitations in solving the applications. First, ignore the time-interval trait of the event sequences, which is more important to the mining result. Secondly, the sequential item is also without attribute constraint. As a result, in this paper an idea is presented to mine event sequential pattern with multi-attribute constraint. Based on...
The property of being consistent is most important for any fuzzy reasoning method. In this paper, the definitions of the consistencies of Generalized Modus Ponens (GMP) and Generalized Modus Tollens (GMT) for multiple rules with thresholds are proposed. Then some examples are given to show the existing fuzzy reasoning methods are not generally consistent for multiple rules. Consequently, a consistent...
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...
To make D-S evidence theory manage imprecise and fuzzy information effectively in evidential reasoning, a novel generalization method of evidence theory to fuzzy sets is proposed. In the method, it discards the max and min operators in previous generalization methods based on fuzzy inclusion measure, and the distance measure of fuzzy sets is introduced to calculate the contribution of one fuzzy focal...
To eliminate flood disaster, which happened more and more frequently in China, a fuzzy-inference based neural network model is developed. This model can solve the problems of systematic difficulty, inefficiency, shortcomings of unable to self-study and inadequate in traditional method. Firstly, the detailed steps of forming the new model were given. Secondly, a case study was used to demonstrate how...
Supervised classification in remote sensing imagery is receiving increasing attention in current research. In order to improve the classification ability, a lot of spatial-features have been utilized. Unfortunately, too many features often cause classifier over-fit to a certain features' character and lead to lower classification accuracy. Feature selection algorithms have utilized to select useful...
Speaker recognition system needs sufficient data to discriminate speaker well. In case of limited data, especially when the amount of available training and testing data were few seconds, the system performance decreased significantly. It proposed a discriminative weighted fuzzy kernel vector quantization method for speaker identification with limited data. By non-linear mapping, it quantized the...
The fuzzy and integrative methods can be used in translation quality evaluation. A statistic and quantitative method named FIEM (fuzzy integrated evaluation method) was introduced to evaluate two translated texts (target texts). The model of FIEM is composed by the element set, evaluation set, threshold vectors and evaluation matrix, which first two sets are both fuzzy. The results of case study and...
The paper focuses on the image segmentation methods based on histogram analysis, and proposes a novel image segmentation approach based on cloud model. Firstly, the paper introduces the basic principles of cloud model. Similar to type-2 fuzzy sets, cloud model considers the uncertainty of membership grades. But it also considers the randomness of them. It is a new kind of uncertain model which is...
The causation of cancer often involves the joint deregulation of multiple biological processes. Thus, it is interesting to extract multi-function features of cancer genes and study their functional coordination involved in tumorigenesis. Here, based on Gene Ontology, we proposed a heuristics strategy to extract multi-function features which are significantly overrepresented with cancer genes. We showed...
Urban thermal environment is a complicated nonlinear system, which is affected by the integration of various influencing factors inside the city. To explore the mechanism of urban heat island (UHI) effect formation in the city of Shanghai, China, decision tree is applied to establishing the quantitative relationships between urban thermal environment and its influencing factors, which reflect ecological...
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