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For overcoming shortages of some current knowledge attaining methods, a novel approach for fault forecast and diagnosis of steam turbine based on rough set data mining theory is brought forward. Data pretreatment, knowledge reduction and rule abstraction are three important problems in the research of rough set theory.The historical fault data of steam turbine is processed with fuzzy and scatter method...
The traditional analytic hierarchy process (AHP) models are usually based on the precise data and it is difficult to handle the uncertainty evaluation problems. Currently, the studies of AHP models usually evaluate the uncertainty problems based on fuzzy or interval number theory but the evaluation results can not provide complete decision information to the decision makers satisfactorily. Hierarchical...
Risk management project is an important aspect of general project risk element transmission theory. Traditional network planning technology encountered great obstacles in project risk management issues, and often unable to accurately forecast the risk, resulting great loss of costs. To address the cost-time optimization problem considering the risk elements, this paper established a network planning...
A method of realization of automatic abstracting based on text clustering and natural language understanding is brought forward, aimed at overcoming shortages of some current methods. The method makes use of text clustering and can realize automatic abstracting of multi-documents. The algorithm of twice word segmentation based on the title and first-sentences in paragraphs is brought forward. Its...
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