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A fuzzy-statistical approach to cognitive maps: Application to modelling finnish dairy farms' profitability

机译:一种对认知地图的模糊统计方法:应用于芬兰乳业农场的盈利能力

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The fuzzy cognitive maps may arouse problems in interpretation, collective knowledge acquisition and stability. We thus suggest a method which applies stepwise regression method and fuzzy rule-based reasoning in model construction, and correlations in interpretation. The Finnish dairy farms' profitability is considered as an example. These methods base on historic data. Hence, we may obtain outcomes which are better understood by the users and provides better collective knowledge.
机译:模糊认知地图可能会引起解释,集体知识获取和稳定性的问题。因此,我们建议在模型结构中应用逐步回归方法和模糊规则的推理的方法,以及解释中的相关性。芬兰乳制品农场的盈利能力被认为是一个例子。这些方法基于历史数据。因此,我们可以获得用户更好地理解的结果,并提供更好的集体知识。

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