Title :
The Mining and Analysis of Affective Law
Author :
He, Tong ; Chen, Hao
Author_Institution :
Sch. of Appl. Math., Central Univ. of Finance & Econ., Beijing, China
Abstract :
According to the affective model based on rough fuzzy sets, this paper presents a new method to mine and analyze affective dynamic transition law. This method combines Markov chain with rough fuzzy sets, and mines affective dynamic transition law in stable environment. The definition of affective entropy enables us to analyze affective dynamic transition law conveniently. Simulation shows that the new method is reasonable.
Keywords :
Markov processes; behavioural sciences computing; fuzzy set theory; rough set theory; Markov chain; affective dynamic transition law; affective entropy; rough fuzzy sets; Analytical models; Biological system modeling; Computational modeling; Entropy; Fuzzy sets; Markov processes; Mathematical model; Affective computing; Affective entropy; Law mining; Markov chain; Rough fuzzy sets;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
DOI :
10.1109/ICCIS.2010.280
