Research of MTS Method Based on Vague Set

Kuipeng Chao
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Abstract

MTS is a pattern recognition method and it can only achieve a single category of identification. But Multi-class pattern recognition problem are most common in the process of pattern recognition. As decision-maker's cognition of things is vague and uncertain and vague set is an effective way to deal with uncertainty problem, so the author tries to combine vague set with MTS to construct Multi-class pattern recognition model and give a specific steps of algorithm.
基于模糊集的MTS方法研究
MTS是一种模式识别方法,只能实现单一类别的识别。但在模式识别过程中,多类模式识别问题最为常见。由于决策者对事物的认知具有模糊性和不确定性,模糊集是处理不确定性问题的有效方法,因此笔者尝试将模糊集与MTS相结合,构建多类模式识别模型,并给出了具体的算法步骤。
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