Interval cloud transform and recognition research of accumulative measurement sequence data
Xi Guan · Kongzhi yu juece · 2015
An asynchronous data recognition algorithm for sequence and interval number based on cloud transform is proposed to solve the problem that the multi-attribute sequence data of the target can not be recognized with the interval number in the database directly. This algorithm counts the possible values in the multi-attribute sequence data approximately and forms the frequency distribution function firstly and then detects the possible values with the threshold. Afterwards,cloud groups are formed with back cloud transform and their the characteristics are extracted, the cloud interval number is got to represent the sequence data according to the 3En rule. The transformed interval recognition is made by using the multi-attribute interval recognition rule and the satisfied result is obtained, which solves the asynchronous data recognition for the sequence and interval number. Simulation experiment results show that the proposed algorithm can recognize the sequence and interval asynchronous data effectively.