By use of some eigenvalues such as missile launch location,infrared radiation of boosting missiles plumes and missile engine off-time eigenvalue,data fusion based on weight sum of membership degree is applied to deduce the type and launching country of the missile.

Concerning fixed maintenance adopted by ship-owners, a kind of game solution with fuzzy membership degree is presented to solve the problem of optimum strategy between ship-owners and repair units.

In this paper,a spatial classification and prediction algorithm based on fuzzy c-means(SFCM) is proposed by introducing the concept of fuzzy membership degree of a spatial object to a fuzzy cluster.

This paper attempts to associate information of fuzzy membership degree of training kernel sample with calculation of kernel distri-buted matrix.

Handwritten Chinese character recognition based on stroke plane and fuzzy membership;

Different transforms of fuzzy membership values of sampled soils and theirs influences on resulted interpolation prediction

Through calculating fuzzy membership of every sample,the conception of fuzzy support vector machine(FSVM)is introduced,which can resolve the problem of unclassifiable regions in SVM.

First,fuzzy membership function is used in classical mutual information and defines the new concept of fuzzy mutual information.

The key of the FSVM is to construct the fuzzy membership function.

With the characteristics of the 4th generation fighters and modern air-combat included,an improved hierarchical architecture model of the air-combat capability was put forward,and combined with the analytic hierarchy process and fuzzy membership function technique for the static evaluation of the air-combat effectiveness.