将模糊模式映射到字符串上

A. Kostanyan, Arevik Harmandayan
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引用次数: 1

摘要

本文研究了给定字符串的分割问题,以匹配模糊模式。模糊模式被定义为一系列模糊属性。假设每个字符串在某种程度上可以匹配一个模糊属性。增加、减少或振荡是数列的模糊性质的例子。我们考虑的问题是如何将给定的字符串(序列)分割成足够长的子字符串(连续子序列)以尽可能地匹配模式。模糊聚类问题在图像处理、生物信息学等领域有着广泛的应用。它也可以看作是模糊字符串匹配问题的一个特例。本文提出了模糊分割问题的最优解,并考虑了其在给定函数分解中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping a Fuzzy Pattern onto a String
The problem of segmentation of a given string to match a fuzzy pattern is considered in this paper. The fuzzy pattern is defined as a sequence of fuzzy properties. It is assumed that each string can match a fuzzy property in some measure. Being increasing, decreasing, or oscillating are examples of fuzzy properties of a numerical sequence. The problem we consider is how to split the given string (sequence) into sufficiently long substrings (contiguous subsequences) to match the pattern as well as possible. This problem can be considered in the frame of the fuzzy clustering problem that has many applications in such areas as image processing, bioinformatics, etc. It can also be viewed as a special case of the fuzzy string matching problem. In this paper, we propose the optimal solution to the fuzzy segmentation problem and consider its application to the decomposition of a given function.
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