DocumentCode
3416286
Title
The Applications of Rough Set Theory in Civil Engineering
Author
Wang, Weijie ; Ren, Gang ; Wang, Wei
Author_Institution
Sch. of Transp., Southeast Univ., Nanjing, China
Volume
1
fYear
2010
fDate
23-24 Oct. 2010
Firstpage
27
Lastpage
31
Abstract
This paper focuses on the comprehensive review of the literature on applications of rough set theory in Civil Engineering. The relationships between rough set theory and other mathematical methods, such as conventional statistical methods, fuzzy sets, and evidence theory, are briefly introduced. The applications of rough set theory in Civil Engineering are discussed in structure engineering, pavement engineering, traffic engineering, transportation engineering, land management, and water resources management. The great majority of civil engineering applications of rough set theory are based on the rule induction. Recent works on integration of rough set theory with other computing paradigms such as genetic algorithm, fuzzy logic, evidence theory are presented.
Keywords
civil engineering; fuzzy set theory; genetic algorithms; rough set theory; statistical analysis; civil engineering; evidence theory; fuzzy logic; fuzzy sets; genetic algorithm; land management; pavement engineering; rough set theory; statistical methods; structure engineering; traffic engineering; transportation engineering; water resources management; Accidents; Artificial neural networks; Civil engineering; Fuzzy sets; Statistical analysis; Uncertainty; application; civil engineering; pavement engineering; rough sets theory; structure engineering; traffic engineering; transportation engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-8432-4
Type
conf
DOI
10.1109/AICI.2010.13
Filename
5656573
Link To Document