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- W2053150194 abstract "In this paper, we construct a Cloud-Neural Network Model in order to solve the problem that limited dividing of the evaluation factor of product satisfaction. Based on the aim of not changing the ambiguity and randomness of indicators, we achieve the reasonable exchange between qualitative and quantitative through uncertain reasoning of cloud, and then, combined with the learning ability of BP Neural Network, eliminate the randomness phenomenon of the design parameters and satisfaction evaluation given by the user, at last, we cloud get the quantify, accurately parameters and satisfaction evaluation." @default.
- W2053150194 created "2016-06-24" @default.
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- W2053150194 date "2010-06-01" @default.
- W2053150194 modified "2023-09-25" @default.
- W2053150194 title "Research of product satisfaction evaluation system based on Cloud-Neural Network model" @default.
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- W2053150194 doi "https://doi.org/10.1109/mace.2010.5535646" @default.
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