认知地图的模糊统计方法:芬兰奶牛场盈利能力建模的应用

2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Pub Date : 2017-09-01 DOI:10.1109/COGINFOCOM.2017.8268225

Antti Hyvarinen, V. Niskanen

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引用次数: 0

摘要

模糊认知地图在解释、集体知识获取和稳定性方面存在问题。因此，我们建议在模型构建中采用逐步回归法和模糊规则推理，在解释中采用相关性。芬兰奶牛场的盈利能力就是一个例子。这些方法基于历史数据。因此，我们可以获得更容易被用户理解的结果，并提供更好的集体知识。

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

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.

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2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)

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