Study on Generalized Soft Lattice and Soft Valuation

Manju John, D. Susha
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Abstract

A soft set is a generalization of a fuzzy set and is an efficient tool for modelling imprecise and vague data. The mathematical structures partially ordered sets and lattices play an important role in mathematics as well as in other disciplines such as computer science, engineering, cryptography, etc. Here we apply soft set theory to lattice theory and introduce the concept of a soft partial ordering and more concepts related to it. Mainly we introduce the concept of a generalized soft lattice(gs lattice) and investigate some of its fundamental properties. Further, we define a soft real valued function called soft valuation on a gs lattice and study its major properties. Moreover, we discuss the notion of a soft distance function in terms of soft valuation and using that function we discuss the conditions under which a gs lattice becomes a soft metric lattice. We conclude this study by defining a soft topological lattice and describe that when a gs lattice with a soft valuation becomes a soft topological lattice.
广义软格与软估值的研究
软集是模糊集的泛化,是对不精确和模糊数据建模的有效工具。部分有序集和格的数学结构在数学以及计算机科学、工程、密码学等其他学科中发挥着重要作用。本文将软集理论应用到格理论中,引入了软偏序的概念以及与之相关的更多概念。主要介绍了广义软格(gs格)的概念,并研究了它的一些基本性质。在此基础上,定义了gs格上的软实值函数,并研究了其主要性质。此外,我们从软值的角度讨论了软距离函数的概念,并利用该函数讨论了gs格成为软度量格的条件。最后,我们定义了一个软拓扑格,并描述了当一个具有软估值的gs格成为一个软拓扑格时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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