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Existing clustering algorithms need to specify the number of clusters and to select initial points using human input, which lead to inferior clustering and optimisation outputs. Here, an improved grey decision-making model based on the thought of affinity propagation algorithm and grey correlation analysis is proposed to solve these problems. According to the panel data class and the inter-class candidate...
There exist lots of complex multiple attribute decision problems in our daily life including in the commercial area. In order to effectively solve these problems, grey theory containing grey relational analysis (GRA) and grey multiple decision making (GMDM) is introduced and put into practice. In this paper, to begin with, the procedures for GRA and GMDM are introduced. Then, a multiple attribute...
With the rapid development of Internet, e-business has been attracted attentions of corporations and scholars, a corporation must be required to speed the rollout of new products within the shortest time to capture the market shares and meet the demand for consumers in the supply chain under e-business, so it is very important for corporations to select appropriate vendor. In this paper, to begin...
Based on the statistics in 2005 from six provinces in the central region of China released by National Bureau of Statistics of China, this paper applies grey incidence analysis to analyze the cause and efficiency of regional scientific and technical output. After detail research, some results have been concluded: (1) In order to increase the standard of scientific and technical output in six provinces,...
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