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This paper presents a systematic discussion on the principal factors which influence the grain production through fuzzy clustering analysis method and multiple linear regression. Then, the proportion of all the factors are obtained though fuzzy comprehensive evaluation method, which provides a reliable theoretical basis to how to improve grain production.
Based on the study of analytic hierarchy process (AHP), fuzzy comprehensive evaluation and Bayesian network, this paper establishes the multiple objective decision Bayesian network model (MODBN) by use of the method of converting the indexes and their relationships into the nodes and directed edges in Bayesian network. First of all, calculate the prior probabilities of the leaf nodes in MODBN using...
Based on the practicable of function, environment compatibility and economic applicability of packaging, and using life cycle assessment (LCA), the hierarchy structure of evaluation index system was established. Then weight of items in the evaluation system was given by the analytic hierarchy process (AHP). The fuzzy comprehensive evaluation was used for rationality evaluation of packaging. Furthermore,...
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