DocumentCode
2385633
Title
Application of Granular Computing in Extension Criminal Reconnaissance System
Author
Chen Yunhua ; Yu Yongquan ; Zeng Bi ; Wang Minghui
Author_Institution
Guangdong Univ. of Technol., Guangzhou
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
32
Lastpage
32
Abstract
The aim of granular computing is to obtain feasible approximate solutions satisfied enough with least complexity. The logic reasoning process using extension method actually implies the ideal of granular computing. This paper uses the relation-element as the measure of granulation and applies granular computing to the reasoning process of the extension criminal reconnaissance system to reduce the complexity of the extension inference.
Keywords
fuzzy reasoning; fuzzy set theory; police data processing; extension criminal reconnaissance system; extension inference; fuzzy sets; granular computing; logic reasoning process; Application software; Artificial intelligence; Bismuth; Computer applications; Information analysis; Information processing; Logic; Reconnaissance; Set theory; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location
Fremont, CA
Print_ISBN
978-0-7695-3032-1
Type
conf
DOI
10.1109/GrC.2007.35
Filename
4403061
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