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Based on establishing an evaluation index system of logistics center location, an integrated decision model is constructed by using the entropy method and grey related analysis. The weights of the evaluation indexes are defined by the entropy method. The quantitative process and comparison of the qualitative information are made by grey relation Analysis.(More)
Because of the problems of nonlinear and high dimension recognition existed in the power load prediction, support vector machine (SVM) is applied to the power load prediction technology based on the analysis of SVM and power load prediction theory. The predictive model of the power load is established based on SVM, which overcomes the problems of dimension(More)
This paper proposed multi-objective fuzzy particle swarm optimization (MOFPSO) for the Proton Exchange Membrane Fuel Cells (PEMFC) generation system. The PEM fuel cell generation system efficiency decreases as its output power increases. Thus, an optimum efficiency should exist and should result in a cost-effective PEM fuel cell generation system. In the(More)
The multi-speed sensor fusion estimation and the problem of fault diagnosis was studied in this paper aimed at the multi-sensor dynamic system with random sampling speed, which present the single sampling speed multi-sensor data fusion estimation algorithm, the multi-speed multi-sensor synchronous and asynchronous fusion estimation algorithm, and the fault(More)
Logistics service suppliers play a very important role in culturing the competition capacity of an enterprise, so it is very important to study the methods of logistics service suppliers selection. First, a comprehensive evaluation index system of logistics service providers selection is put forward in the paper. Then, In order to overcome the lack of(More)
The analytic Customer Relationship Management is the key to gain customers and realize intellectualization in Customer Relationship Management for enterprises. This paper proposed one kind of improved intellectualization model of Customer Relationship Management based on Rough Set, this model carries on the data pretreatment and data mining at one time(More)
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