Theoretical Modeling of Organizational Reflex in Human Resource Management from the Perspective of Organizational Biological Approach

The code provided to be using the scikit-fuzzy library to implement a fuzzy logic system. It defines three input variables: neighbors, symmetry, and time, and one output variable: time. It then creates fuzzy membership functions for the input variables using the automf function and defines a set of rules using ctrl.Rule. Finally, it creates a control system, performs simulations, and saves the results in files. The code also includes a section where it generates random data and performs calculations based on the fuzzy logic system. It uses the time_rate control system simulation to compute the output Time based on the input values of Neighbors and Symmetry. The results are then saved in two text files: model_results_visi.txt and model_results_filterout.txt. Additionally, some plots are generated using the matplotlib library and saved as images.本次提供的代码依托scikit-fuzzy库实现模糊逻辑系统（fuzzy logic system）。该系统定义了三个输入变量：邻域（neighbors）、对称性（symmetry）与时间（time），以及一个输出变量：时间（time）。随后，代码通过automf函数为各输入变量构建模糊隶属度函数，并借助ctrl.Rule定义规则集。最终，代码构建控制系统、开展仿真实验，并将结果保存至文件中。此外，代码还包含一个模块，用于生成随机数据并基于该模糊逻辑系统执行计算。本代码借助time_rate控制系统仿真模块，基于邻域与对称性的输入值计算输出时间。计算所得结果将保存至两个文本文件中：model_results_visi.txt与model_results_filterout.txt。此外，代码还会借助matplotlib库生成各类绘图，并将其保存为图像文件。