An extended soft set model: Type-2 fuzzy soft sets

Xi'ao Ma, Guoyin Wang
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引用次数: 3

Abstract

The soft set theory has been initiated by Molodtsov as a useful mathematical tool for dealing with uncertainty, fuzzy, not clearly defined objects. However, it is inappropriate to be used to deal with fuzzy parameters that involve uncertain words, linguistic terms and have a non-measurable domain. In this paper, we present an extended soft set model which is called type-2 fuzzy soft sets by combining the type-2 fuzzy set and soft set models. The complement, ”and”, “or”, union and intersection operations are defined on the type-2 fuzzy soft sets. The related properties of type-2 fuzzy soft sets are also presented and discussed.
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一个扩展的软集模型:二类模糊软集
软集理论是由Molodtsov提出的,作为处理不确定性、模糊、不明确定义对象的有用数学工具。但是,对于涉及不确定词、语言术语和具有不可测量域的模糊参数,则不适合使用该方法。本文将二类模糊集与软集模型相结合,提出了一种扩展软集模型,称为二类模糊软集。在二类模糊软集上定义补运算、“与”、“或”、并运算和交运算。给出并讨论了二类模糊软集的相关性质。
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