The main idea of this work is the exploration of granular structures by applying the hybrid models of fuzzy soft sets and fuzzy soft graphs to discuss the indiscernibility partition of set of universe. The information granulation is examined by applying fuzzy soft theory, and the corresponding behavior of granules is reviewed. This article proposes a novel technique of formation of granular structures using fuzzy soft graphs and defines the fuzzy soft granules. Two degree-based models are introduced to explore the abstraction of these granular structure. Then, we use these two degree-based models to granulate the certain relationships between different species in an ecological system. Further, we develop and implement some algorithms of our proposed models to granulate the underconsideration networks. Finally, a comprehensive comparison of our proposed model with other existing techniques is presented to prove the applicability and effectiveness of fuzzy soft granulation.

这项工作的主要思想是通过应用模糊软集和模糊软图的混合模型来讨论粒集的不可分性，从而探索粒状结构。应用模糊软理论对信息造粒方法进行了研究，并对相应的颗粒行为进行了综述。本文提出了一种使用模糊软图形成粒状结构的新技术，并定义了模糊软粒。引入了两个基于度的模型来探索这些粒度结构的抽象。然后，我们使用这两个基于度的模型来细化生态系统中不同物种之间的某些关系。此外，我们开发并实现了我们提出的模型的一些算法，以细化欠考虑网络。最后，