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Generalized intuitionistic fuzzy soft sets and multiattribute decision making

机译:广义直觉模糊软集与多属性决策

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Both Fuzzy set theory and rough set theory are effective tools in dealing with uncertainty problems. However, these theories have their own inherent limitation, which is the inadequacy of the parameterizations tool. Soft set theory is a new mathematical tool in dealing with uncertainties which is free from the above difficulties. Soft set can deal with broader uncertain problems by the combination of them. The present paper aims to further generalize intuitionistic fuzzy soft sets and investigate their application in multiattribute decision making. A new soft computing model called generalized intuitionistic fuzzy soft sets is defined and some related properties are investigated. This new model could give approximate description of concerned objects in an intuitionistic fuzzy environment, together with some additional information on the weights of attributes. We consider the application of generalized intuitionistic fuzzy soft sets in multiattribute decision making. In particular, an effective algorithm to solve such decision making problems is presented and supported by illustrative examples.
机译:模糊集理论和粗糙集理论都是处理不确定性问题的有效工具。但是,这些理论有其固有的局限性,这是参数化工具的不足。软集合理论是一种解决上述不确定性的新数学工具。软集合可以通过组合使用它们来处理更广泛的不确定性问题。本文旨在进一步推广直觉模糊软集,并研究其在多属性决策中的应用。定义了一种新的软计算模型,称为广义直觉模糊软集,并研究了一些相关的性质。该新模型可以在直觉模糊环境中给出有关对象的近似描述,以及有关属性权重的一些其他信息。我们考虑了广义直觉模糊软集在多属性决策中的应用。特别地,通过说明性示例来提供并支持解决这种决策问题的有效算法。

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