Title :
Fuzzy clustering analysis of emergency rescue route
Author_Institution :
Econ. $ Manage. Sch., Zhongyuan Univ. of Technol., Zhengzhou, China
Abstract :
This paper applies fuzzy clustering into clustering processing emergency rescue route according to pertinent indexes. With MATLAB software as platform to perform simulation experiment, paper finally gets dynamic clustering figure by setting up different confidence level λ. This paper aims at simplifying route choice decision to establish foundation to search shortest path.
Keywords :
emergency services; fuzzy set theory; matrix algebra; pattern clustering; public administration; transportation; MATLAB software; clustering processing emergency rescue route; dynamic clustering figure; fuzzy clustering analysis; route choice decision; search shortest path; Economics; Indexes; Logistics; MATLAB; Materials; Safety; MATLAB; emergency rescue route; fuzzy clustering;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010690
