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With the development of uncertain theory, fuzzy multi attribute decision making has been applicated in more and more areas. This paper established optimization model based on fuzzy ideal points for uncertain multi-attribute decision making problem in which the attribute values are given in the forms of triangular fuzzy number and the information on attribute weights is unknown completely or partly...
Ant colony optimization (ACO) algorithms have been applied successfully to combinatorial optimization problems. Rough set theory offers a viable approach for feature selection from data sets. In this paper, the basic concepts of rough set theory and ant colony optimization are introduced, and the role of the basic constructs of rough set approach in feature selection, namely attribute reduction is...
P2P workflow systems meet the development trend of workflow systems. The running path optimization (the path with the minimum running time which consists of the services discovery time and the task execution time) in full-distribution (decentralized) environments has been a bottleneck restricting the performance of P2P workflow systems. Aiming at this problem, this paper proposes a innovative hybrid...
Based on an analysis on the Web log mining algorithm of predecessors, this paper presents the Web site structure optimization technology to improve customer interest. The technology proposes similar customer groups and clustering algorithms of relevant Web pages based on interest matrix of customers accessing a Web site to discover the hidden customer access patterns. Experiment results demonstrate...
In this paper, we estimate the geometric characteristics, such as the relation of edges and the angle characteristics between edges, from single view. And we also use the prior knowledge about objects, such as the feature of edges and the geometry construction of objects, to construct the variable constraint based on the projection rules. In this paper, we transfer the problem of interpretation of...
Fingerprint feature detection is one of the key techniques of automatic fingerprint identification. There are some problems of rotation and shift in the present fingerprint feature detection. This paper has given an algorithm of bifurcation detection based on neural network template matching. Correlative matching is to calculate the correlative value between template and target image according to...
An improved ant colony optimization (ACO) was developed based on the characteristics of resource-constrained project scheduling problem (RCPSP). In the algorithm, a new permutation of priorities-based encoding scheme is employed, and the summation evaluation is applied to direct the moving of ants. The priority rule pool, in which lots of priority rules can be managed, is presented to strengthen the...
Based on the statistical analysis of relation between CBP (Coded Block Pattern), MVD (Motion Vector Difference) and each coding mode, a fast mode selection algorithm based on macroblock-adaptive is proposed. In this algorithm, adaptive judgment strategies are adopted to filter partial coding mode quickly. The residual CBP, MVD information is used adequately to identify the relativity of intra and...
To rapidly and accurately search the corresponding points along scan-lines, rectification of stereo pairs are performed so that corresponding epipolar lines are parallel to the horizontal scan-lines and the difference in vertical direction is zero. In this paper, the method to rectify image pairs could be divided into three steps including projective transformation, affine transformation and shearing...
In order to resolve the tremendous computation and the low speed of ray casting volume rendering, this paper presents an octree ray casting algorithm based on Multi-core CPUs, Through the merger of the same properties adjacent nodes, the classic octree structure to be optimized, reduces the storage space and improves the octree traversing speed. Simultaneity it combines the Multi-core CPUs with OpenMP...
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