软集的正确结构和相似性度量,以及d.a olodtsov教授的历史性评论

Pub Date : 2022-06-08 DOI:10.35634/vm230103
Santanu Acharjee, Amlanjyoti Oza
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引用次数: 0

摘要

莫洛佐夫。软集理论的初步结果[j] .计算机与数学,1999,vol. 37, no. 1。4-5页,19-31页。在软集理论出现之前,它以惊人的速度发展。一些作者错误地介绍了软集理论和混合结构中的各种操作、关系、结果等以及其他方面,尽管它们在数学和相关领域得到了广泛的应用。Molodtsov, a .软集的等价性和正确运算,《国际机器人与自动化学报》,2018,vol. 4, no. 5。1,第18-21页。,软集论之父莫洛佐夫指出了几个错误的结果和概念。Molodtsov . .软集的结构,nehetkie系统与Myagkie vychiseniya, 2017, vol. 12, no. 1。1,第5-18页。]还指出,软集的概念还没有被完全理解,也没有被广泛使用。因此,重新审视这些概念的怪异之处并提供软集等价概念的正式说明是很重要的。Molodtsov已经在软集上探索了许多正确的操作。本文采用了Molodtsov [Molodtsov]的一些概念和结果。软集的结构,Nechetkie Sistemy i Myagkie Vychisleniya, 2017, vol. 12, no. 5。1,第5-18页。]来创建矩阵表示以及软集的相关运算,并量化两个软集之间的相似度。
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Correct structures and similarity measures of soft sets along with historic comments of Prof. D.A. Molodtsov
After the paper of Molodtsov [Molodtsov D. Soft set theory — First results, Computers and Mathematics with Applications, 1999, vol. 37, no. 4-5, pp. 19-31.] first appeared, soft set theory grew at a breakneck pace. Several authors have introduced various operations, relations, results, etc. as well as other aspects in soft set theory and hybrid structures incorrectly, despite their widespread use in mathematics and allied areas. In his paper [Molodtsov D.A. Equivalence and correct operations for soft sets, International Robotics and Automation Journal, 2018, vol. 4, no. 1, pp. 18-21.], Molodtsov, the father of soft set theory, pointed out several wrong results and notions. Molodtsov [Molodtsov D.A. Structure of soft sets, Nechetkie Sistemy i Myagkie Vychisleniya, 2017, vol. 12, no. 1, pp. 5-18.] also stated that the concept of soft set had not been fully understood and used everywhere. As a result, it is important to revisit the quirks of those conceptions and provide a formal account of the notion of soft set equivalency. Molodtsov already explored many correct operations on soft sets. We use some notions and results of Molodtsov [Molodtsov D.A. Structure of soft sets, Nechetkie Sistemy i Myagkie Vychisleniya, 2017, vol. 12, no. 1, pp. 5-18.] to create matrix representations as well as related operations of soft sets, and to quantify the similarity between two soft sets.
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