Recognition for soft information based on the theory of soft sets

Zhi Xiao, Ling Chen, Bo Zhong, Shi-Jie Ye
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引用次数: 81

Abstract

In this paper, an appropriate definition of soft information is put forward. In order to discover soft sets application in recognizing soft information patterns, firstly analyze the basic definition of soft sets, make use of table to describe soft sets and give the conception of soft sets reduction according to the characters of soft sets. Then, the method is designed that recognizing soft information patterns by establishing the information table based on soft sets theory; at the same time the solutions are proposed corresponding to the different recognition vectors. This method with good maneuverability can operate collaterally and by batch so as to release the difficulty and complexity in information analysis by some extents.
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基于软集理论的软信息识别
本文对软信息进行了适当的定义。为了探索软集在软信息模式识别中的应用,首先分析了软集的基本定义,利用表来描述软集,并根据软集的特点给出了软集约简的概念。然后,设计了基于软集理论建立信息表的软信息模式识别方法;同时针对不同的识别向量,提出了相应的解决方案。该方法具有良好的可操作性,可以分批、并行地进行,从而在一定程度上缓解了信息分析的难度和复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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