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As a necessary step for knowledge discovery based on rough sets, the fuzzy rough approximations of fuzzy ISTU need to be updated efficiently under dynamic data environment.
Because computing approximations of sets is an important step for knowledge reduction of dynamic covering decision information systems, efficient approaches to calculating the second and sixth lower and upper approximations of sets using the type-1 and type-2 characteristic matrices, respectively, are essential.
CCA can be used for the purpose of dimension reduction prior to a data mining step for knowledge discovery in databases.
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This is a typical first step for a knowledge management project which usually provides only an initial, rough idea of the final goal that will need many iterations to reach.
The second framework, Knowledge to Action (KTA) Cycle, describes a cycle of steps for translating knowledge into clinical action (knowledge creation, problem identification, local adaptation, assessment of barriers, implementation, monitoring, and sustained use) that is underpinned by planned action theory and stakeholder involvement [ 17].
The current government approach of 'guiding people's choices' may reinforce this awareness but offers little in support for the key step from knowledge to action [ 29].
The obtained models represent a first step for a deeper knowledge of the molecular interactions in food systems.
After this step, different KM scenarios for knowledge scorecards, process-orientation, skill management or knowledge-based infrastructure can be realized.
An important step for achieving the knowledge-based design freedom on nano- and interfacial materials is attained by elucidating the related surface and interface thermodynamics from the first principles so as to allow engineering the microstructures for desired properties through smartly designing fabrication processing parameters.
From theory to practice: 3 steps of knowledge development.
Because variability and change are ubiquitous in ecosystems, acknowledging these inherent properties of nature is an essential step for further advancing scientific knowledge of biodiversity ecosystem functioning in theory and practice.
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