A New Method for the Algorithm of Close Degree in Fuzzy Pattern Recognition

Some algorithms of close degree in fuzzy pattern recognition were researched and their limitations in application were found. So a new algorithm of close degree was proposed based on fluctuation thought in this paper. The whole relation between various elements and fuzzy set was considered in the new algorithm. It could avoid that the little change of membership grade in fuzzy set result in tremendous change of close degree. If the algorithm was applied in engineering practice, it could avoid an error result of pattern recognition. An example was used to prove its correctness and wider application.