<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the Big data under the background of artificial intelligence --AI is increasingly popular, the core role of knowledge base system experts in the increasingly emerge, but whether the automatic driving or artificial recognition need to deal with a lot of expert knowledge data AI, and the expert knowledge not only is fuzzy, and has dynamic. This paper from a new perspective, a comprehensive interpretation of the dynamic fuzzy system theory, and the theory of dynamic fuzzy dynamic fuzzy on the knowledge base of the proposed a new characterization method based on data representation, logical representation. The knowledge base system is also studied and designed.</p>
</abstract>

With the Big data under the background of artificial intelligence --AI is increasingly popular, the core role of knowledge base system experts in the increasingly emerge, but whether the automatic driving or artificial recognition need to deal with a lot of expert knowledge data AI, and the expert knowledge not only is fuzzy, and has dynamic. This paper from a new perspective, a comprehensive interpretation of the dynamic fuzzy system theory, and the theory of dynamic fuzzy dynamic fuzzy on the knowledge base of the proposed a new characterization method based on data representation, logical representation. The knowledge base system is also studied and designed.

Research on the application of dynamic fuzzy logic in intelligent knowledge base system

Wuxi City College Of Vocational Technology

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

With the Big data under the background of artificial intelligence --AI is increasingly popular, the core role of knowledge base system experts in the...

Research on the application of dynamic fuzzy logic in intelligent knowledge base system

Online veröffentlicht: 11. Apr. 2018

Seitenbereich: 89 - 92

DOI: https://doi.org/10.21307/ijanmc-2017-035

Schlüsselwörter
expert knowledge base, data fuzziness, data dynamic, dynamic fuzzy theory

© 2017 Wang Tao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Research on the application of dynamic fuzzy logic in intelligent knowledge base system

Online veröffentlicht: 11. Apr. 2018

Seitenbereich: 89 - 92

DOI: https://doi.org/10.21307/ijanmc-2017-035

Schlüsselwörterexpert knowledge base, data fuzziness, data dynamic, dynamic fuzzy theory

© 2017 Wang Tao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
expert knowledge base, data fuzziness, data dynamic, dynamic fuzzy theory