The invention discloses a one-to-many mixed string comparison method which is characterized in that a most similar or matched target string is found out for a source string in a group of strings to be compared. The one-to-many mixed string comparison method includes that a GST * algorithm is improved, a POC (partial order comparison) algorithm is then utilized; matching degree value acquired from the two kinds of algorithms is subjected to weight fusion to acquire final matching degree by combining respective characteristics of the algorithms in aspects of disorder and partial order matching of the strings; besides, synonymy substrings in the source string and the strings to be compared are equivalently substituted into the same string by adopting an equivalent string substitution strategy according to different ways of expression of synonymy strings in different occasions, and the matching degree of the two strings can be greatly improved. The source string and strings to be compared are matched separately, the matching degrees are then sorted, the string with the highest matching degree is taken as the target string, and better matching of one-to-many mixed strings is realized.