软粗糙集与覆盖为基础

Kedar Chandra Parida, D. Mohanty, N. Kalia
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引用次数: 0

摘要

数学和计算机科学的研究已经取得了广泛的进展,引入了新的理论,作为解决现实生活中各个领域知识和信息增长困难的有效模型。为了解决不精确和不确定的问题,研究人员将软集和粗糙集理论合并为软粗糙集。软粗糙集很好地处理了信息不精确和模糊的复杂问题。本文提出了带覆盖的软粗糙集作为一种新的模型,可以更容易地处理不精确的初始问题,并在两个近似算子的帮助下以多种方式呈现定义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soft Rough Set With Covering Based
Research in mathematics and computer science has progressed in a widespread way to introduce new theories as efficacious model for plowing the difficulties of growing knowledge and information in varied sphere of real life. Soft set and rough set theory have been amalgamated by researchers as soft rough set to address the problems of imprecision and uncertainty . Soft Rough set nicely deals the complex issue of impreciseness and vagueness of information. This paper is brilliant attempt proposing soft rough set with covering as a new model to grapple the incipient matter of imprecision more easily presenting definition in varied manners with the help of two approximation operators.
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