基于改进模糊算法的复杂系统状态诊断研究

Study on State Diagnosis for Complex System Based on Improved Fuzzy Algorithm

为了克服传统模糊算法的诊断系统建模复杂、改进难度大、不利于经验积累困难的缺点, 在复杂系统的状态诊断中引入了改进的模糊算法, 创建了基于改进模糊算法的复杂系统状态诊断模型, 并以一个实例分别比较验证了基于传统模糊算法的状态诊断模型与基于改进模糊算法的复杂系统状态诊断模型, 结果表明基于改进模糊算法的复杂系统状态诊断模型虽然在诊断速度方面稍逊一筹, 但具有建模简单、模型改进容易、诊断准确、诊断信息丰富、适用性广泛等显著优点, 其综合性能大大优于基于传统模糊算法的诊断模型。

To overcome the shortcomings of the traditional fuzzy algorithm, including complex management of diagnosis system, high difficulty in improvement and being unfavorable to accumulate experiences, the improved fuzzy algorithm is introduced to the state diagnosis for complex system, the model of state diagnosis for complex system based on the improved fuzzy algorithm is established, and a sample case is adopted to contrast and verify the state diagnosis model based on the traditional fuzzy algorithm and the state diagnosis model for complex system based on the improved fuzzy algorithm respectively, which indicates that although the latter is inferior in the speed of diagnosis, it has the significant advantages in simple management, easiness in improvement, accurate diagnosis, abundant diagnosis information and wide applications, so that its comprehensive performance is far beyond that of the diagnosis model based on traditional fuzzy algorithm.