基于云映射的多粒度语义决策属性识别

doi:10.7527/S1000-6893.2014.0365

Abstract

Abstract:

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.

Key words: target recognition, cloud map, linguistic and decision attribute, grey incidence, evidence theory

CLC Number:

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.

References

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Recognition of multi-granularity linguistic and decision attribute based on cloud map

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