Title :
A novel approach to qualitative prediction
Author :
Zhu, Jianjun ; Tan, Shaohua
Author_Institution :
Dept. of Intell. Sci., Peking Univ., Beijing, China
Abstract :
Qualitative analysis has increasingly become a main analysis tool for handling complex dynamical systems. In qualitative analysis, Qualitative Prediction Problem is one of the central problems of qualitative modeling for a system. At present, qualitative modeling approaches cannot solve effectively this problem because they employ unsuitable manner of qualitative modeling. In this paper, by proposing the notion of ternary qualitative function as qualitative model structure for complex systems and developing a few specific constructive methods to generate such functions directly on the qualitative information available, we build a novel direct qualitative modeling approach. By applying the novel approach to an example, it is illustrated that the approach can be used to solve effectively the Qualitative Prediction Problem.
Keywords :
common-sense reasoning; modelling; complex dynamical systems; complex systems; qualitative analysis; qualitative information; qualitative model structure; qualitative modeling; qualitative prediction problem; ternary qualitative function; Algorithm design and analysis; Differential equations; Fuzzy neural networks; Interpolation; Iterative algorithms; Laboratories; Machine intelligence; Predictive models; qualitative modelling; qualitative prediction; ternary qualitative analysis; ternary qualitative function;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451216