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Analyzing the limitation of traditional fuzzy-integral measure method, this paper puts forward an improved fuzzy-integral measure method. With this method, decision-maker will find deficiencies of the measure object by changing numerical value of parameter e, based on which, they can establish and implement corresponding strategies. At last, this paper makes a demonstrated analysis, which proves the...
In this paper, first raised the possibility of such a tendency on services framework - a degree of dependence. The framework and support-confidence framework completely different. D database is the tendency of the incident and the extent of the incidents linked to the degree of measure contains rules. Comparatively speaking, more direct causal relationship between the events described, a more effective...
This paper considers a sale network design problem where the decision marker needs to decide the number and location of the sale stores and the inventory control decisions of central depot and stores in competitive environment. The objective is to determine the optimal numbers and locations of store and system inventory control policy so as to maximize the total profit of the sale network. Sale stores...
For most image fusion algorithms split relationship among pixels and treat them more or less independently, this paper proposes a region based multi-focus image fusion scheme using quality assessment of spatial domain and genetic algorithm, which combines aspects of feature and pixel-level fusion. The basic idea is to divide the source images into blocks, and then select the corresponding blocks with...
For most image fusion algorithms split relationship among pixels and treat them more or less independently, this paper proposes a region based multi-focus image fusion scheme using wavelet transform, morphological and genetic algorithm, which combines aspects of feature and pixel-level fusion. The basic idea is to select sharply focused regions from source images and to combine them together to reconstruct...
A method based on genetic algorithms (GA) for fusing multiple images of a static scene into an image with maximum information content is introduced. It partitions the image domain into uniform blocks and for each block selects the image that contains the most information within that block. The selected images are then blended together using rational Gaussian blending functions that are centered at...
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