… In this paper, we have studied knowledge reduction in variable precision rough set model.
Two new types of attribute reduction based on VPRS, β lower distribution reduct and β upper …

… of knowledge reduction in inconsistent decision tables in order to provide an underlying
classification of knowledge reduction … The VPRS model was meant to overcome the problem of …

… (knowledge or attributes) in S as random variables defined over U. Entropy of knowledge is
defined… Then we define reduction of knowledge from the view of information. Based on these …

… in a circular business model. We further conclude that a good knowledge base exists on the
… activities itself but a lack of knowledge regarding environmental impacts of circular products …

… entropy of the covering and define attribute reduction of covering information systems in
Section 3. In Section 4, we study attribute reduction of consistent covering decision systems by …

… that cost reduction stops at some level of knowledge through a … that, unlike in the model
without knowledge depreciation, the … Also, the knowledge level along the optimal path may …

… approaches to knowledge reductions in inconsistent … of knowledge reduction called a
maximum distribution reduct, which preserves all maximum decision classes. This type of reduction …

… , but simply a step forward to ease AK formalization and reduce AK loss; we consider there
still is a big gap … States and transitions in bold are product of our SECI model extension. …

… knowledge sharing in information security is able to reduce risk. To … knowledge sharing and
its capability to reduce risk in information security communities. This paper proposes a model …

… in knowledge and application of DRR has been uneven (Briceño 2015). We believe that the
domains of disaster risk reduction, knowledge … In the “linear” knowledge production model, …