Multi-text Fusion Computation Based on Flexible Interval Control

A method of multi-text fusion computation is discussed in this paper which extracts the common features automatically by using text fusion. When search the information in a special domain, the keywords are picked out by using relative sample muster fusion, keywords´ flexible control is realized by regulating the sample muster, in final search- space´s conditioning control and result tropism are achieved. This method, to a certain extent, avoids the either-choice windage, makes the probability of search-completely and the result amount reach a best harmony, finally realizes the optimal cost performance.