运用模糊数学的概念和方法对具有模糊性的观测结果进行处理和识别,构成了模糊模式识别的基本内容。本课题着重研究瞬态模糊模式识别、连续语音模糊识别、视觉识别、遥感图象高精度分类等,旨在提供新的识别方法,开辟新的研究途径,为上述一批模式识别问题勾画出一新的实用化理论框架。作为一门交叉学科,它的突破对人工智能、自动控制、信号处理等研究领域都有很大的推动作用,对机器智能问题的解决具有重要的理论和实际意义,在军事上和国民经济建设中都会有广泛的应用前景。本课题是国家自然科学基金委员会重大项目“模糊信息处理与机器智能”的课题之一。本文介绍了本课题实施近二年半来取得的成果和今后的研究计划。 The concept and method of fuzzy mathematics are used to process and recognize ambiguous observations to form the basic content of fuzzy pattern recognition. This subject focuses on transient fuzzy pattern recognition, continuous speech fuzzy recognition, visual recognition, high-precision remote sensing image classification and so on, aims to provide new identification methods, open up new avenues for research, for a batch of pattern recognition problem outlined New Practical Theory Framework. As an interdisciplinary discipline, its breakthrough has a great impetus to the research fields of artificial intelligence, automatic control and signal processing. It has important theoretical and practical significance to solve the problem of machine intelligence. In the military and national economy construction Will have a wide range of applications. This subject is one of the topics of “Fuzzy Information Processing and Machine Intelligence”, a major project of the National Natural Science Foundation of China. This article describes the achievements made in the past two and a half years since the implementation of this project and the research plan for the future.