For the problem of the clay classification in the river, this paper applied the calculation methods of fuzzy synthetical judgement and the weighing of assessment factors to proposed an improved method which was based on the deviation method of minimum membership degree with weighed proportional means.

Considering the problems of multilayer decision-making,a complex with multifactor fuzzy objective optimum decision making method—derivation method of minimum subordinative degree is applied;a new scientific multilayer decision-making model is made.

Considering the variety,changeability,uncertainty during the bidding for projects,a complex with multifactor fuzzy objective optimum decision making method-derivation method of minimum subordinative degree is applied;a new scientific mathematical model is made.

This paper adopts the interrelated theory of fuzzy mathematics, a Track Correlation based on maximum membership degree is presented, the correlative model is built,and simulation analysis is made.

In the algorithm,the element with the maximum degree of membership in the fuzzy set of interference conclusion is selected.

Inspired by the multi-level defense mechanism in immune system and uncertainty in intrusion behavior,this paper uses an improved fuzzy recognition method to present a network security management model based on maximum degree of membership algorithm.

Relying on the maximum degree of membership,the weighted-average and the fuzzy distribution,the comprehensive conclusion of appraisal is put forward.

The paper introduces a method of optimal decision making with multi objective,according to which the ideal decision making may be defermined by processing the optimal subordinate degree of decision data at first, and on the basis of magnitude of approach degree of each decision scheme and ideal scheme,the optimal decision may be obtained.