Abstract
On purpose of improving the research in intuition learning system when the knowledge in hand is not sufficient, a learning model of fuzzy degree based on intuition index is presented. From the initial intuition decision system defined by the experience judgment, a series of learning interval-systems with various experience levels are created. Firstly, human intuitive decision making gotten by the learning approach of self-organization of intuition decision processing, and the concept mapping of selection of knowledge and experience is established by artificial intuition method based on the decision trait of human intuition. Finally, an artificial intuition method combined with self-organization method of intuition computing is proposed according to the amelioration of the fuzzy computing. Experiment proves that the Intuition Concept Space and the Intuition fuzzy mapping pattern inversion (IFMPI) approach are feasible. The IFMPI Application is currently being deployed at the Dalian Police Department (DPD) and the ICMI is undergoing further modifications. Future development efforts for intuition decision project will also be discussed.
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References
Ping, H.: On the construction of quantitative criminology. Journal of Liaoning Police Academy, 1–5 (2002)
Ping, H.: Research about criminal investigation specialist expert system. Advances in Management Information System About China, 355–358 (1985)
Yanhuai, L., Ping, H.: The Self-organized extension neural networks and crack a criminal case extension reasoning. Advances in Systems Science and Application, 200–203 (2000)
Ping, H.: The method of attribute analysis in non-optimum to optimum. Journal of Liaoning Normal University, 29–33 (2008)
Ping, H.: Extension relationship mapping inversion and the automatic reasoning of crime detective. Journal of Pattern Recognition and Artificial intelligence, 58–62 (2003)
Ping, H.: The fresh means of economic system acquirement. Dalian University of Technology press, Dalian (1989)
Ping, H.: The system is non-optimum distinguished the direction system. The dominates together with the decision, 18–21 (1989)
Ping, H.: On extension reasoning of the steal criminal. Journal of Liaoning Police Academy, 31–33 (2003)
Ping, H.: Research on the quantity analysis of social crime. Journal of Liaoning Police Academy, 1–6 (2004)
Minsky, M., Singh, P., Sloman, A.: The St. Thomas common sense symposium: designing architectures for human-level intelligence. AI Magazine, 113–124 (summer, 2004)
Hwang, Y.K., Lee, M., Lee, D.: Robots’ role in the ubiquitous computing household environment. In: Proceedings of the International Symposium on Robotics, Paris, France (March 2004)
Ping, H.: Fuzzy relationship mapping inversion and automatic reasoning of crime detective. In: Artificial Intelligence Applications and Innovations, pp. 681–690. Springer, Heidelberg (2005)
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He, P. (2009). Crime Pattern Discovery and Fuzzy Information Analysis Based on Optimal Intuition Decision-Making. In: Cao, By., Zhang, Cy., Li, Tf. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88914-4_53
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DOI: https://doi.org/10.1007/978-3-540-88914-4_53
Publisher Name: Springer, Berlin, Heidelberg
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