Multicriteria classification refers to classify objects evaluated by a set of criteria to preference-
ordered decision classes. Dominance-based rough set approach has been successfully …

Nonlinear operators for KANSEI evaluation dataset were significantly developed such as
uncertainty reason techniques including rough set, fuzzy set and neural networks. In order to …

Interval-valued data appear as a way to represent the uncertainty affecting the observed
values. Dealing with interval-valued information systems is helpful to generalize the …

Rough set theory has been applied extensively to attribute reduction. Classical rough sets
provide a theoretical framework for attribute reduction based on complete data with regular …

The pressure of blast furnace gas (BFG) pipeline is one of the most significant criteria for the
scheduling of byproduct gas system in steel industry. Given the measuring problems under …

Fire is a natural disaster that poses a profound existential threat to humanity. It has
traditionally been fought with conventional methods, which, unfortunately, are often fraught …

Knowledge acquisition is the process of extracting useful knowledge from data sets to
analyze data in areas of data mining and knowledge discovery. Most current knowledge …

Eco-geographical regionalization involves dividing land into regions by considering both
intra-regional consistency and interregional disparity and is based on the pattern of …

In recent years, a theme park drives significant attention in tourism industry due to the
provision of quality and integrated service, and issuing annual pass cards help the theme …

区间值数据用来表示包含观察值的不确定性. 区间值信息系统的处理有助于拓展粗糙集理论的
应用范畴. 属性约简是区间值数据分析的一个关键问题. 现有针对传统单值数据的方法不适用于 …