Computer Science

Computer Science ›› 2024, Vol. 51 ›› Issue (6A): 230500153-5.doi: 10.11896/jsjkx.230500153

• Artificial Intelligenc • Previous Articles     Next Articles

Similarity Measure Between Picture Fuzzy Sets and Its Application in Pattern Recognition

GAO Jianlei, LUO Minxia   

  1. Department of Data Sciences,China Jiliang University,Hangzhou 310018,China
  • Published:2024-06-06
  • About author:GAO Jianlei,born in 1997,postgra-duate.His main research interest include pattern recognition.
    LUO Minxia,born in 1964,professor,doctor,master supervisor.Her main research interests include non-classical logic,approximate reasoning and image processing.
  • Supported by:
    National Natural Science Foundation of China(12171445).

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Abstract: Picture fuzzy sets can depict information with fuzziness,uncertainty,and inconsistency.Similarity measure is a measure of the degree of similarity between two objects.The similarity measure between picture fuzzy sets is studied in this paper.Considering the information difference of the three membership degrees of picture fuzzy sets,a new similarity measure is constructed based on exponential function.The similarity measure proposed in this paper not only satisfies the axiomatic definition of the similarity measure,but also yields reasonable computational results in practical applications.We apply the proposed similarity measure to pattern recognition,and compare it with some existing similarity measures in examples.The results show that the proposed similarity measure can not only overcome the shortcomings of some existing similarity measures,but also obtain reasonable calculation results.

Key words: Picture fuzzy set, Similarity measure, Pattern recognition

CLC Number: 

  • TP18
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