Information extracted from L-fuzzy contexts is substantially improved by taking into account different points of view, which can roughly be represented by criteria. This work addresses the general study of L-fuzzy contexts were a set of criteria is introduced, analyzing situations in which their evolution over time is known. The relationship among criteria is also an important point in the study. In this sense, the treatment will vary depending on whether they are independent criteria or there exists dependency among them. Of special importance will be those elements that stand out for presenting a positive temporal evolution. Four algorithms are proposed in order to analyze the different situations. Finally, the applicability of the results is shown thought an example where the opinion of the clients of several hotels is analyzed taking into account both the type of traveler considered and the different aspects of the establishments on which a score is given.

中文翻译：

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从L模糊上下文中提取与条件相关的知识

通过考虑不同的观点，可以大大提高从L模糊上下文中提取的信息，这些观点可以用标准大致表示。这项工作针对引入了一组标准的L-模糊上下文的一般研究，分析了其随时间演变的情况。标准之间的关系也是研究的重点。从这个意义上说，治疗将取决于它们是独立的标准还是它们之间存在依赖性而有所不同。那些在呈现积极的时间演变方面脱颖而出的元素将特别重要。为了分析不同情况，提出了四种算法。最后，