The Mathematic Method of Membership Conversion from Degree of Coordinates to Degree of Points

In any multi-indexes uncertainty decisions, if choosing membership function to describe the uncertainty of every space-index value about some status, it must meet membership degree conversion, which must solve the conversion from membership degree of coordinates to membership degree of points. But the present methods affect the credibility of result of decision because of the redundant data. So, by mining knowledge information about pointspsila classification hidden in membership degree of every coordinates, affirming the relation between pointspsila classification and membership degree of coordinates; eliminating the redundant data in coordinatespsila membership for pointspsila classification by defining distinguishable weight; constructing the mathematic method of conversion from membership degree of coordinates to membership degree of points without the interference of redundant data, providing method basis for solving key computation in multi-indexes uncertainty decisions.