ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Recognition of multi-granularity linguistic and decision attribute based on cloud map
Received date: 2014-09-26
Revised date: 2014-12-30
Online published: 2015-01-07
Supported by
National Natural Science Foundation of China (61032001); Program for New Century Excellent Talents in University (NCET-11-0872)
Descriptive linguistic and decision attribute of target cannot be recognized with database directly in multiple asynchronous sensors multi-attribute target recognition domain. So a linguistic and decision attribute recognition method based on granular level transform is proposed to solve this problem. Firstly, with this algorithm, cloud mapping function is introduced, which unifies the linguistic and decision granular level to the same interval granular level. Then the interval degree of incidence between the transformed linguistic, decision interval and the interval database is calculated based on grey incidence theory, which achieves the granular computation among the multi-granularity levels. Finally, combined with the evidence theory the recognition result is obtained. The simulation and compared analysis of linguistic and decision attribute show the effectiveness of the proposed method in precision and fuzzy transform processing.
SUN Guidong , GUAN Xin , YI Xiao , WANG Hong . Recognition of multi-granularity linguistic and decision attribute based on cloud map[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015 , 36(10) : 3349 -3358 . DOI: 10.7527/S1000-6893.2014.0365
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