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This paper deals with the filtering problem for discrete-time fuzzy stochastic systems with sensor nonlinearities. There exist time-varying parameter uncertainties and random noise depending on state and external-disturbance. The characteristic of nonlinear sensor is handled by a decomposition method. By means of the parallel distributed compensation technique, the design method of the robust H_ filter...
A new method was proposed for solving the multi-depot inventory-routing problems with stochastic demands. Firstly a model was established that incorporates working inventory cost, safety stock cost and stochastic routing cost. Secondly, due to the bad convergence while utilizing traditional decomposition and coordination method (DCM) to attack the problems, the coordination values were designed by...
Using the stochastic frontier production function and the decomposition method of total factor productivity made by Kunbhakar, this paper studies the total factor productivity of China's steel industry during 1981-2003. The result indicates: Capital and TFP play more important roles for output growth while the contribution of labor input is negative. Of all the factors for the growth of TFP, scale...
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