图像模糊系统中的两个新概念“图像模糊粗糙软集”和“图像模糊动态系统”

B. Cuong, Pham Huy Thong
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引用次数: 5

摘要

2013年,b.c uong和V. Kreinovich引入了图像模糊集的概念[1],它是Zadeh模糊集和Atanassov直觉模糊集的直接泛化概念。图像模糊集理论和图像模糊逻辑[5]在计算智能问题中的应用得到了许多发展(参见[5]和[9-19])。图像模糊集与Molodsov软集[26]的组合是[1]第5节给出的图像模糊软集。粗糙集由Z. Pawlak于1982年提出[4],它成为数据挖掘的一种有用的数学工具,特别是对于冗余和不确定数据。模糊集和粗糙集理论的结合产生了各种各样的模型,并得到了许多有趣的结果。最近在NICS 2017[9]中,我们为软计算问题定义了图像模糊粗糙集。本文讨论了图像模糊粗糙软集和图像模糊动态系统的概念,它们是图像模糊系统的重要分支和应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two new concepts "Picture Fuzzy Rough Soft Sets"and "Picture Fuzzy Dynamic Systems" in Picture Fuzzy Systems
In 2013, B.C. Cuong and V. Kreinovich introduced the concept of picture fuzzy set [1], which is a directly generalization concept of the Zadeh’s fuzzy sets and Atanassov’s intuitionistic fuzzy sets. Picture Fuzzy Sets Theory and Picture Fuzzy Logic [5] was received many developments with applications in computational intelligent problems (see [5] and [9–19]). A combination of picture fuzzy sets with Molodsov’s soft sets [26] are Picture Fuzzy Soft Sets was given in section 5 of [1]. Rough set was introduced by Z. Pawlak in 1982 [4], which becomes a usefully mathematical tool for data mining, especially for redundant and uncertain data. The combination of fuzzy set and rough set theories lead to various models and receive many interesting results. Recently in the NICS 2017 [9] we defined the picture fuzzy rough sets for the soft computing problems. This paper is devoted to the new sets – Picture Fuzzy Rough Soft Sets and the a concept ”Picture Fuzzy Dynamic Systems”, which could be important branches of picture fuzzy systems and applications.
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