粗糙集理论是继概率论、模糊集、证据理论之后的又一个处理不确定性问题的新型数学工具。
Rough set theory is a new mathematical tool to deal with vagueness and Uncertainty problem after probability theory, fuzzy sets, mathematical theory of evidence.
提出了一种新的有效的图像阈值分割算法。本算法将小波理论，模糊集理论和信息论三者有机的结合起来。
A new effective image segmentation algorithm Based on Wavelet Operator is presented, which is tied tightly in Wavelet analysis with Fuzzy, information theory.
粗集理论是继概率论、模糊集、证据理论之后的又一种处理模糊和不确定性知识的数学工具。
Rough Set Theory is another mathematical tool used for dealing with fuzzy and uncertain knowledge besides Probability Theory, fuzzy Set Theory and Evidence Theory.
粗集理论是继概率论、模糊集、证据理论之后的又一种处理模糊和不确定性知识的数学工具。
Rough Set Theory is another mathematical tool used for dealing with fuzzy and uncertain knowledge besides Probability Theory, fuzzy Set Theory and Evidence Theory.
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