DocumentCode :
533223
Title :
An optimal method of comfort evaluation rules based on incomplete information system for high-speed railway
Author :
Wang Hai-yong ; Wang Xiao-ming ; Dang Jian-wu
Author_Institution :
Sch. of Electron. & Inf. Eng., Lanzhou Jiaotong Univ., Lanzhou, China
Volume :
11
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
With the rapid development of high-speed railway in China, it is very important to study on comfort of high-speed trains. On the basis of the comprehensive evaluation model of comfort based on rough set theory and fuzzy theory for high-speed railway, the paper has established a method of extraction and optimization for evaluation rules by rough set theory and theory of incomplete information system. From the analysis of examples, satisfactory reduction rules are showed to guide the comfort evaluation rapidly for better reliability and adaptability.
Keywords :
fuzzy set theory; knowledge based systems; railways; rough set theory; China; fuzzy theory; high speed railway; optimal method; optimization; rough set theory; rules extraction; Indexes; Modeling; Noise; Optimization; Rail transportation; Set theory; Evaluation of Comfort; High-speed Railway; Incomplete Information System; Rough Set Theory; Rule Reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5623207
Filename :
5623207
Link To Document :
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