Contemporary research has refined systems with complex fuzzy sets in order to improve the design and model of real-life applications. Symmetry and antisymmetry are basic characteristics of binary relations used when modeling the decision maker’s preferences. A recent focus has been the analysis of a complex data set using the properties of fuzzy concept lattice and the complex soft set. We will introduce a new concept to represent the information which utilizes the time factor, called fuzzy parameterized complex multi-fuzzy soft expert set ( F P - CMFSES ), and investigate part of its fundamental properties. This F P - CMFSES model allows us to validate the information provided by an expert, at a given phase of time, using the properties of complex fuzzy sets. We then construct an algorithm based on this concept by converting it from the complex state to the real state. Eventually, we implement it to a decision-making problem to demonstrate the applicability of the suggested method. A comparison among F P - CMFSES and other existing methods is made to expose the dominance of the suggested method. Apart from that, we also propose the weighted fuzzy parameterized complex multi-fuzzy soft expert set and investigate its application to decision-making.
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机译:当代研究具有复杂模糊集的精制系统,以改善现实寿命应用的设计和模型。对称性和反对称是在模拟决策者偏好时使用的二元关系的基本特征。最近的焦点是使用模糊概念格和复杂软组的性质分析复杂数据集。我们将介绍一个新概念来表示利用时间因素的信息,称为模糊参数化复杂多模糊软专家集(F P - CMFSES),并调查其基本属性的一部分。该F P-CMFSES模型允许我们使用复杂模糊集的属性在给定的时间阶段验证专家提供的信息。然后,我们通过将其从复杂状态转换为真实状态来构造一种基于此概念的算法。最终,我们将其实施到一个决策问题,以证明建议方法的适用性。 F P - CMFSES和其他现有方法之间的比较是暴露所提出的方法的优势。除此之外,我们还提出了加权模糊参数化复杂多模糊软专家集,并调查其在决策中的应用。
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