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首页> 外文期刊>Arabian Journal for Science and Engineering >Some Generalized Complex Intuitionistic Fuzzy Aggregation Operators and Their Application to Multicriteria Decision-Making Process
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Some Generalized Complex Intuitionistic Fuzzy Aggregation Operators and Their Application to Multicriteria Decision-Making Process

机译：一些广义复杂的直觉模糊聚合运算符及其在多轨道决策过程中的应用

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摘要

The objective of this manuscript is to present some generalized weighted averaging aggregation operators for aggregating the different complex intuitionistic fuzzy sets using t-norm operations. In the existing studies of fuzzy and its extension, the uncertainties present in the data are handled with the help of degrees of membership which are the subset of real numbers, which may loose some useful information and hence consequently affect on the decision results. As a modification to these, complex intuitionistic fuzzy set handles the uncertainties with the degrees whose ranges are extended from real subset to the complex subset with the unit disk and hence handle the two-dimensional information in a single set. Thus, motivated by this, we developed some new averaging aggregation operators, namely complex intuitionistic fuzzy (CIF) weighted averaging, CIF ordered weighted averaging and CIF hybrid averaging in conjunction with their desirable properties. Then, we utilized these operators to propose a multicriteria decision-making approach and illustrated a numerical example to demonstrate the working of the proposed approach. Finally, the proposed results are compared with existing approaches results.
机译：该稿件的目的是呈现一些广义加权平均聚合运算符，用于使用T-Norm操作聚合不同的复杂直觉模糊集。在现有的模糊及其延伸的研究中，数据中存在的不确定性是在隶属度的帮助下处理，这些成员资格是实数的子集，这可能会松动一些有用的信息，因此影响决策结果。作为对这些的修改，复杂的直觉模糊SET处理与具有单位盘的复杂子集到复合子集的度的度的不确定性，因此处理单个集合中的二维信息。因此，由此激励，我们开发了一些新的平均聚合运营商，即复杂的直觉模糊（CIF）加权平均，CIF命令加权平均和CIF混合平均与其所需的属性结合。然后，我们利用这些运营商提出多种机构决策方法，并说明了一个数字示例，以证明所提出的方法的工作。最后，将所提出的结果与现有方法进行比较。

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