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Generation of structure function based on ambiguous and incompletely specified data using the fuzzy decision trees

机译:使用模糊决策树基于模糊和不完全指定的数据生成结构函数

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The informatics is extremely fast development area that is based on interdisciplinary knowledge. University education for students of this specialisation must include interdisciplinary subjects to illustrate modern trends in researches and technologies. The reliability engineering or reliability analysis is one of typical areas of knowledge that based on principles of interdisciplinary. One of important problem in reliability engineering is development of mathematical model of investigated system. There are a lot methods and algorithms for elaboration of system mathematical model for completely specified information about investigated system. But numerous applied problem must be decided implemented if the initial information is incompletely specified and uncertain. In this case, new methods and algorithms must be developed for the construction of mathematical model. One of possible way for such methods development is based on application of approaches of Data Mining that are focused on the decision of analysis of uncertain and incompletely specified data. New method for mathematical model construction in reliability analysis by Fuzzy Decision Tree is considered in this paper.
机译:信息学是基于跨学科知识的极其快速的发展领域。针对该专业学生的大学教育必须包括跨学科科目,以说明研究和技术的现代趋势。可靠性工程或可靠性分析是基于跨学科原理的典型知识领域之一。可靠性工程中的一个重要问题是被调查系统数学模型的发展。有很多方法和算法可用于完善系统数学模型,以全面了解有关被调查系统的信息。但是,如果初始信息不完整且不确定,则必须决定实施许多应用问题。在这种情况下,必须开发新的方法和算法来构建数学模型。这种方法开发的一种可能方法是基于数据挖掘方法的应用,这些方法的重点是确定不确定和不完整指定数据的分析决策。提出了一种基于模糊决策树的可靠性分析数学模型构建的新方法。

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