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针对发动机故障的特点，将最小割集诊断理论与模糊诊断理论相结合，建立了模糊最小割集诊断法．这种方法吸取了经典逻辑与模糊逻辑的优点，容错性较强，降低了割集理论中由于诊断逻辑过于严格而造成的漏诊风险．用贴近度代替概率作为定量值，简化了计算步骤，增加了求解灵活性，也降低了模糊方法中的错诊风险．该方法也可推广应用于具有多诊断参数的复杂机器的故障诊断．文中给出了应用实例．
Aimed at the characteristics of engine failure, the least cut set diagnosis theory and fuzzy diagnosis theory are combined to establish the fuzzy minimum cut set diagnosis method. This method draws the advantages of classical logic and fuzzy logic, and has strong fault tolerance, which reduces the risk of misdiagnosis caused by too strict diagnostic logic in cut set theory. Proximity instead of probability as a quantitative value, simplifying the calculation steps, increasing the flexibility of the solution, but also reduces the risk of misdiagnosis in the fuzzy method. The method can also be applied to the fault diagnosis of complex machines with multiple diagnostic parameters. The article gives the application example.