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