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作者的早期研究成果广义模糊集合论在本文中得到进一步的完善，相对完整系统地探讨了广义模糊集合的性质，并给出了一些新的定义和运算公式。此外还将其运用到图象处理的某些领域如数字减影和目标识别，实验结果证实了它的优越性，显示出广义模糊集合论在图象处理中具有良好的发展前景
The author’s early research results generalized fuzzy set theory is further improved in this paper. The properties of generalized fuzzy sets are discussed relatively systematically and some new definitions and operational formulas are given. In addition, it is applied to some areas of image processing such as digital subtraction and object recognition. The experimental results confirm its superiority and show that the generalized fuzzy set theory has a good prospect in image processing