The interval concept lattice theory, a new method of mining objects based on interval parameters, can more accurately deal with uncertain information than the classical concept lattice theory. The optimization of interval parameters has been a problem that is not well solved. From the perspective of three-way decision space, we first combine the theories of interval concept lattice and three-way decision and then put forward interval three-way decision space theory; second, in the interval three-way decision space, the positive region, negative region, and boundary region are divided by extension of interval three-way decision concept; further, the decision loss function and three-way decision rules are extracted. Through adjusting interval parameters of the lattice structure, we could find that when parameter is roughly 0.6, more credible decision rules will be mined and decision-making becomes more clear than that under the condition is less than 0.6; finally, we verify the model by a “Green Products Recommendation” example.

中文翻译：

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基于三向决策空间的区间参数优化模型及其在“绿色产品推荐”中的应用

间隔概念格理论是一种基于间隔参数挖掘对象的新方法，与经典概念格理论相比，它可以更准确地处理不确定的信息。间隔参数的优化一直没有得到很好的解决。从三路决策空间的角度出发，首先将区间概念格理论与三路决策理论相结合，然后提出区间三路决策空间理论。其次，在区间三路决策空间中，通过区间三路决策概念的扩展来划分正区，负区和边界区。进一步提取决策损失函数和三向决策规则。通过调整晶格结构的区间参数，我们可以发现大约为0.6，比在小于0.6的条件下，将挖掘更可靠的决策规则，并且决策变得更加清晰；最后，我们通过“绿色产品推荐”示例验证模型。