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

机译:认知地图的模糊统计方法:在芬兰奶牛场盈利能力建模中的应用

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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:模糊认知图可能引起解释,集体知识获取和稳定性方面的问题。因此,我们建议一种在模型构建中应用逐步回归方法和基于模糊规则的推理,并在解释中应用相关性的方法。以芬兰奶牛场的盈利能力为例。这些方法基于历史数据。因此,我们可以获得用户更好理解的结果,并提供更好的集体知识。

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