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Fuzzy clustering has emerged as an important tool for discovering the structure of data. Kernel based clustering has emerged as an interesting and quite visible alternative in fuzzy clustering. Aimed at the problems of both a local optimum and depending on initialization strongly in the fuzzy c-means clustering algorithm (FCM), a method of kernel-based fuzzy c-means clustering based on fruit fly algorithms...
Microblog ranking is a hot research topic in recent years. Most of the related works apply TF-IDF metric for calculating content similarity while neglecting their semantic similarity. And most existing search engines which retrieve the microblog list by string matching the search keywords is not competent to provide a reliable list for users when dealing with polysemy and synonym. Besides, treating...
China and France both have long histories and share some similarities in their development. But different economic, political and cultural backgrounds between the two countries lead to differences in the management system, the developing speed and the operational models of their professional sports. Broad and mass participation population provides sufficient sources for French professional sports;...
Classical particle filter needs large numbers of samples to properly approximate the posterior density of the state evolution, and moreover, sample impoverishment is an inevitable problem, which is a key issue in the performance of a particle filter. In this paper, particle swarm optimization (PSO) was embedded into generic particle filter framework to achieve more robustness and flexibility. Samples...
Classical particle filter needs large numbers of samples to properly approximate the posterior density of the state evolution, and moreover, sample impoverishment is an inevitable problem, which is a key issue in the performance of a particle filter. In this paper, particle swarm optimization (PSO) was embedded into generic particle filter framework to achieve more robustness and flexibility. Samples...
This paper investigates a two-person zero-sum matrix game in which the payoffs are characterized as random fuzzy variables. Based on random fuzzy expected value operator, a random fuzzy expected minimax equilibrium strategy to the game is defined. Then an iterative algorithm based on random fuzzy simulation is designed to seek the minimax equilibrium strategy. Finally, a numerical example is provided...
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