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In order to predict the hidden failure by using the qualitative knowledge, life data and monitoring observation, a new model for hidden failure prognosis is proposed on the basis of belief rule base (BRB).
The proposed model and optimal algorithm can operate together in an integrated manner to improve the precision of failure prognosis by using the qualitative knowledge and quantitative information effectively.
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This represents an important methodological advancement in biomedical ethics by using the qualitative method of ethnography to generate knowledge through which to advance ethical theory [ 19].
Transcripts were analyzed and coded to ascertain common themes using the qualitative data analysis software program ATLAS.ti (Version XX, The Knowledge Workbench. Berlin, Scientific Software Development Inc).
Based on expert knowledge, the software transfers the qualitative knowledge into quantitative index by the use of fuzzy evaluation and grey relational analysis.
In the current methods for establishing the failure prognosis model, the qualitative knowledge and quantitative information (life data and monitoring observation) cannot be used effectively and simultaneously.
Qualitative information induces varying beliefs within the market because such information is interpreted using the relevant knowledge possessed by the recipients.
With increasing amounts of quantitative data being available, the challenge arises how we can use our typically qualitative knowledge about biological systems to explain this data.
Despite the numerous studies on the social context, social network, and how youth define themselves and their smoking status in relation to tobacco use, qualitative knowledge about the role of smoking within peer relationships from youth themselves is only emerging.
The inductive qualitative analysis of the posed questions revealed eight different strategies by which students use the seed knowledge and their prior knowledge to generate new questions.
Using qualitative biological knowledge, we first establish the structure of a general power-law model.
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