DocumentCode
2466643
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
fYear
2010
fDate
17-19 Dec. 2010
Firstpage
1130
Lastpage
1133
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCIS.2010.280
Filename
5709479
Link To Document