首页> 外文期刊>International Journal of Artificial Intelligence Tools: Architectures, Languages, Algorithms >KNOWLEDGE REDUCTION IN LATTICE-VALUED INFORMATION SYSTEMS WITH INTERVAL-VALUED INTUITIONISTIC FUZZY DECISION
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KNOWLEDGE REDUCTION IN LATTICE-VALUED INFORMATION SYSTEMS WITH INTERVAL-VALUED INTUITIONISTIC FUZZY DECISION

机译:区间直觉模糊决策的格值信息系统的知识约简。

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摘要

In this paper, associated with dominance relation, lattice theory and intuitionistic fuzzy sets theory, the lattice-valued information systems with interval-valued intuitionistic fuzzy decision are proposed and some of its properties are investigated carefully. And, an approach to knowledge reduction based on discernibility matrix in consistent lattice-valued information systems with interval-valued intuitionistic fuzzy decision is constructed and an illustrative example is applied to show its validity. Moreover, extended from the idea of knowledge reduction in consistent information systems, four types of reductions and approaches to obtaining the knowledge reductions of the inconsistent lattice-valued information systems with interval-valued intuitionistic fuzzy decision are formulated via the use of discernibility matrix. Furthermore, examples are considered to show that the approaches are useful and effective. One can obtain that the research is meaningful both in theory and in application for the issue of knowledge reduction in complex information systems.
机译:本文结合支配关系,格论和直觉模糊集理论,提出了具有区间直觉模糊决策的格值信息系统,并对其一些性质进行了仔细研究。并构造了一种基于区间矩阵直觉模糊决策的一致性矩阵信息系统中基于可分辨矩阵的知识约简方法,并通过一个实例说明其有效性。此外,从一致性信息系统中知识约简的思想出发,通过区分矩阵,提出了四种类型的约简方法,以及具有区间直觉模糊决策的不一致格值信息系统的知识约简方法。此外,通过实例说明该方法是有用和有效的。可以发现,该研究对于复杂信息系统中的知识约简问题在理论上和应用上都是有意义的。

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