| This dissertation focuses on the research about the fuzzy information in weapons storage information system being developed, and tries to obtain the immanent relation between the qualitative data and the quantitative data, in order to make the fuzzy information be used adequately and effectively, and service the development of new-style weapons, the evaluation of performance and renovation of storage weapons.Part A is introduced into this dissertation. Its relations between the appearance feature (the qualitative data) and the variety of dimension (the quantitative data) are studied.The variety of dimension is decided by many factors, such as the parts' calendar age, the innate differences and the storage environment. It is difficult to describe the innate differences and the storage environment exactly. But they can be reflected by the parts' appearance influenced by them. Accordingly, fuzzy sets method is introduced to process the fuzzy information of the parts' appearance. This method takes appearance age as its universe of discourse to describe the standard appearance feature value of the parts, and uses fuzzy numbers to describe the linguistic values that represents the severity degree of the parts' appearance. After the method about how to calculate the appearance age is given, the relationship among the calendar age, appearance age and physiological age is demonstrated. A way to predict the variety of the parts' dimension and the life of the parts is gained.In order to realize the fuzzy information processing method in weapons storage information system, the problems, such as how to abstract the appearance information automatically, how to decide parameter of membership function, are solved.The process that how to realize the fuzzy information processing method in weapons storage information system is illustrated by an example of parts' measure data. The parts' appearance age and physiological age are obtained simultaneously. Both the variety of the parts' dimension and the parts' longevity are predicted. The feasibility and rationality of this method are proved by the result of example. |