"工学硕士论文：不精确推理方法研究及算法探讨"

RESEARCH ON UNCERTAINTY REASONING ALGORITHMS This Master's thesis focuses on the study of uncertainty reasoning algorithms in the field of electrical engineering and automation. The research was conducted at xxx University, and the dissertation was completed in July 20xx under the guidance of Prof. Shenghe Sun. Uncertainty reasoning is a crucial aspect in various engineering applications, where traditional logic-based reasoning methods may not be sufficient to deal with the complexity and ambiguity present in real-world scenarios. In this study, various uncertainty reasoning algorithms were explored and analyzed for their effectiveness in addressing the challenges posed by uncertain and imprecise information. The research methodology employed in this thesis included a comprehensive review of existing literature on uncertainty reasoning, followed by the development and implementation of novel algorithms tailored to specific application scenarios. The algorithms were evaluated using simulation studies and real-world data to assess their performance and applicability. The results of the research revealed that the proposed uncertainty reasoning algorithms were able to effectively handle uncertain and imprecise information, leading to improved decision-making and system performance in practical engineering applications. The findings from this study contribute to the advancement of uncertainty reasoning techniques in the field of electrical engineering and automation. Overall, this Master's thesis provides valuable insights into the development and implementation of uncertainty reasoning algorithms, highlighting their importance in addressing the challenges of uncertainty in engineering systems. The research conducted in this study opens up new avenues for further exploration and application of uncertainty reasoning techniques in diverse engineering domains.