In this paper, we develop two novel hybrid models, namely N-soft expert set model and fuzzy N-soft expert set model. An N-soft expert set model is the combination of N-soft sets with soft expert sets, and a fuzzy N-soft expert model studies the fuzziness of N-soft expert sets. Further, we illustrate our hybrid models with daily life examples involving uncertainties in data. Moreover, we describe some fundamental operations, including intersection, union, complement, OR and AND. Further, we discuss three practical applications of proposed methods in decision making from which third application is a real case study (that is, selection of a place for a telecommunication tower). Algorithms of our proposed models prove their effectiveness and validity. Finally, we present a comparative analysis of our proposed models with some existing models.

在本文中，我们开发了两种新颖的混合模型，即N- soft专家集模型和模糊N- soft专家集模型。一个ñ -柔软专家集模型的组合ñ -soft套软专家集，模糊ñ -柔软专家模型研究的模糊性ñ软专家集。此外，我们用涉及数据不确定性的日常生活示例来说明混合模型。此外，我们描述了一些基本运算，包括交集，并集，补码，或和与。此外，我们讨论了提出的方法在决策中的三个实际应用，其中第三个应用是实际案例研究（即，选择电信塔的位置）。我们提出的模型算法证明了其有效性和有效性。最后，我们对我们提出的模型与一些现有模型进行了比较分析。