Xi'an Technological University
Subject: Computer Science, Software Engineering
eISSN: 2470-8038
SEARCH WITHIN CONTENT
Keywords : expert knowledge base, data fuzziness, data dynamic, dynamic fuzzy theory
Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 2, Issue 3, Pages 89-92, DOI: https://doi.org/10.1109/iccnea.2017.35
License : (CC BY-NC-ND 4.0)
Published Online: 11-April-2018
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.
Li Fan-zhang, Liu Gui Quan, She Yu-mei etc.. An introduction to Dynamic Fuzzy Logic [M], science and technology publisher in Yunnan, 2005.
Li Fan-zhang The True Value Domain measure of Dynamic Fuzzy Logic;.Computer engineering, 2001,27(3):83-85.
LI Fan-zhang; MEI Yu; QIAN Xu-pei. Research on a Dynamic Fuzzy Data Model. Journal of Chinese Computer Systems, 2002, 23(9):1107-1109.
Qing Pan, Fanzhang Li Theroy of Dynamic Fuzzy Relational De8cision-making and its Applications, 2013,8-18.
Wang Tao , The application of dynamic and obscure logic in intellectual data; Journal of Qinghai Normal University(Natural Science Edition), 2009,2:25-31.
Liu Luo,Guo Li-hong,Software Reliability Growth Model Based on Dynamic FuzzyNeuralNetwork with Parameters Dynamic Adjustment, 2013,02,186-190.
Rui Hui Juang,Dissertation Submitted to Zhejiang University of Technology Degree of Master 2014.09:12-32 .
Wang Tao . Analysis and design of the computer network test system based on UML modeling;Journal of Xin Yu College, 2005.5:26-29.
Meng XF, Ci X (2013) Big data management: concepts, techniquesand challenges. J Comput Res Dev 50:146–169 (in Chinese).
Manyika J, Chui M, Brown B et al (2011) Big data: the nextfrontier for innovation, competition, and productivity. MckinseyGlobal Institute. http://www.mckinsey.com/*/media/McKinsey/dotcom/Insights%20and%20pubs/MGI/Research/Technology%20and%20Innovation/Big%20Data/MGI_big_data_full_report.ashx. Accessed 03 Sep 2013.
Guo HD (2014) Digital earth: big earth data. Int J Digit Earth7:1–2.