关于模糊a赋范线性空间的一些结果

M. Arunmaran, K. Kannan
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引用次数: 0

摘要

Zadeh在特征函数的基础上建立了模糊集的概念。他介绍了模糊集合理论的基础。在本文中,𝑀𝑛()表示在模糊单位区间[0,1]上所有阶为𝑛的模糊矩阵的集合。添加(𝑀𝑛(),())称为模糊正则化线性空间。本文的目的是研究收敛序列与模糊rtp -赋范线性空间之间的关系。所有模糊的集合点𝑀𝑛(𝐹)用𝑃∗(𝑀𝑛(𝐹))。对于一个模糊𝛼−赋范线性空间(𝑀𝑛(𝐹)𝜃),我们有|𝜃(𝑃𝐴)𝛼−𝜃(𝑃𝐵)𝛼|≤𝜃(𝑃𝐴,𝑃𝐵)𝛼。此外,在𝑀𝑛()上是一个连续函数。如果𝑃𝐴𝑛→𝑃𝐴作为𝑛→∞然后𝜃(𝑃𝐴𝑛)𝛼→𝜃(𝑃𝐴)𝛼作为𝑛→∞,哪里𝑃𝐴𝑛是一个序列(𝑀𝑛(𝐹)𝜃)。因此,我们总是以𝑀𝑛()为界。接下来,我们介绍以下结果:让𝑃𝐴𝑛,𝑃𝐵𝑛∈𝑃∗(𝑀𝑛(𝐹))与𝑃𝐴𝑛和𝑃𝐵𝑛收敛于𝑃𝐴和𝑃𝐵分别𝑛→∞。然后𝑃𝐴𝑛+𝑃𝐵𝑛收敛于𝑃𝐴+𝑃𝐵作为𝑛→∞。此外,我们还比较了两种不同的具有收敛序列的模糊rtp -范数。的结果表明模糊𝛼−赋范线性空间(𝑀𝑛(𝐹)𝜃),我们有𝜃(𝑃𝐴)𝛼1≥𝑀𝜃(𝑃𝐴)𝛼2,对于一些𝑀> 0和𝑃𝐴∈𝑃∗(𝑀𝑛(𝐹))。如果在模糊𝛼1 -范数下, 或者xxxx xxxx收敛于xxxx,那么在模糊𝛼2 -范数下,或者xxxx xxxx收敛于xxxx。此外,如果(𝑀𝑛(0.05),0.05)具有有限维数,则它应该是完备的。通过这些结果,我们能够清楚地理解模糊的概念和它的性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SOME RESULTS RELATED WITH FUZZY a −NORMED LINEAR SPACE
Zadeh established the concept of fuzzy set based on the characteristic function. Foundation of fuzzy set theory was introduced by him. Throughout this paper, 𝑀𝑛(𝐹) denotes the set of all fuzzy matrices of order 𝑛 over the fuzzy unit interval [0,1]. Inaddi tion (𝑀𝑛 (𝐹), 𝜃) dis called as fuzzy 𝛼 −normed linear space. The objective of this paper is to investigate the relationships between convergent sequences and fuzzy 𝛼 −normed linear space. The set of all fuzzy points in 𝑀𝑛 (𝐹) is denoted by 𝑃∗(𝑀𝑛(𝐹)). For a fuzzy 𝛼 −normed linear space (𝑀𝑛 (𝐹), 𝜃), we have |𝜃(𝑃𝐴)𝛼 −𝜃(𝑃𝐵)𝛼 | ≤ 𝜃(𝑃𝐴,𝑃𝐵)𝛼. Besides 𝜃 is a continuous function on 𝑀𝑛 (𝐹). That is, if 𝑃𝐴𝑛 → 𝑃𝐴 as 𝑛 → ∞ then 𝜃(𝑃𝐴𝑛 )𝛼 → 𝜃(𝑃𝐴)𝛼 as 𝑛 → ∞, where 𝑃𝐴𝑛 is a sequence in (𝑀𝑛 (𝐹), 𝜃). Hence, 𝜃 is always bounded on 𝑀𝑛(𝐹). Next we introduce the following result: Let 𝑃𝐴𝑛 , 𝑃𝐵𝑛 ∈ 𝑃 ∗ (𝑀𝑛(𝐹)) with 𝑃𝐴𝑛 and 𝑃𝐵𝑛 converge to 𝑃𝐴 and 𝑃𝐵 respectively as 𝑛 → ∞. Then 𝑃𝐴𝑛 + 𝑃𝐵𝑛 converge to 𝑃𝐴 + 𝑃𝐵 as 𝑛 → ∞. Furthermore, we are able to compare two different fuzzy 𝛼 −norms with convergent sequence. The result states that for a fuzzy 𝛼 −normed linear space (𝑀𝑛(𝐹), 𝜃), we have 𝜃(𝑃𝐴)𝛼1 ≥ 𝑀𝜃(𝑃𝐴 )𝛼2 , for some 𝑀 > 0 and 𝑃𝐴 ∈ 𝑃 ∗ (𝑀𝑛(𝐹)). If 𝑃𝐴𝑛 converges to 𝑃𝐴 under fuzzy 𝛼1 −norm then 𝑃𝐴𝑛 converges to 𝑃𝐴 under fuzzy 𝛼2 −norm. Moreover, if (𝑀𝑛 (𝐹), 𝜃) has finite dimension then it should be complete. Through these results, we are able to get clear understanding about the concept fuzzy 𝛼 −normed linear space and its properties.
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