Asynchronous Data Recognition Research Based on Interval Association Degree

Abstract

Abstract. Aiming at the problem that the sequence data can't be fused with the interval data in the database directly, the sequence-interval asynchronous data recognition algorithm based on interval association degree was proposed. First of all, reduce the dimension of the sequence data, use the maximum and minimum of the sequence data as the interval boundary, complete the isomorphism transformation of the asynchronous data and then solve the interval similarity degree. Finally, use a recognition algorithm based on adaptive recognition criterion to deal with the in distinguishability of the recognition algorithm of the maximum association degree when association degree is fuzzy. Simulation experiments show that the proposed algorithm can recognize sequence-interval asynchronous data effectively and also discuss the recognition effect of the adaptive recognition algorithm and the maximum association degree recognition algorithm.