Decision support system for optimal maintenance scheduling of highway bridge RC decks applying on fuzzy reasoning and classifier system

Author(s):  
H. Furuta ◽  
M. Dogaki ◽  
D.M. Frangopol
Author(s):  
Akindele Opeyemi Areegbe ◽  
◽  
Abiodun Alani Ogunseye ◽  
Naheem Olakunle Adesina ◽  
Thomas Kokumo Yesufu

2005 ◽  
Vol 51 (10) ◽  
pp. 109-117 ◽  
Author(s):  
C. Turon ◽  
J. Alemany ◽  
J. Bou ◽  
J. Comas ◽  
M. Poch

Constructed wetlands (CWs) are artificial wastewater treatment systems appropriate for small communities because of their affordability, operability and reliability. These qualities are true whenever CWs are designed and constructed properly, and as long as the necessary operation and maintenance procedures are carried out correctly. Experience shows that the operation and maintenance procedures, and the frequencies with which these procedures are carried out, differ from one CW to another. With this in mind, and along with a projected increase in CWs in Catalonia, the Catalan Water Agency (Agència Catalana de l'Aigua) has developed an Environmental Decision Support System (EDSS) which proposes guidelines for monitoring and maintenance, according to the characteristics of each CW. This EDSS was developed following a methodology based on five steps: (i) problem analysis; (ii) collecting data and knowledge acquisition; (iii) model selection; (iv) model implementation and (v) validation. This paper describes the methodology followed to build the decision support system and presents some examples of the information provided by this EDSS.


2013 ◽  
Vol 25 (6) ◽  
pp. 555-564 ◽  
Author(s):  
Tanja Brcko ◽  
Jelenko švetak

Despite the generally high qualifications of seafarers, many maritime accidents are caused by human error; such accidents include capsizing, collision, and fire, and often result in pollution. Enough concern has been generated that researchers around the world have developed the study of the human factor into an independent scientific discipline. A great deal of progress has been made, particularly in the area of artificial intelligence. But since total autonomy is not yet expedient, the decision support systems based on soft computing are proposed to support human navigators and VTS operators in times of crisis as well as during the execution of everyday tasks as a means of reducing risk levels.This paper considers a decision support system based on fuzzy logic integrated into an existing bridge collision avoidance system. The main goal is to determine the appropriate course of avoidance, using fuzzy reasoning.


2021 ◽  
Vol 55 ◽  
pp. 439-446
Author(s):  
Anis Assad Neto ◽  
Bruna Sprea Carrijo ◽  
João Guilherme Romanzini Brock ◽  
Fernando Deschamps ◽  
Edson Pinheiro de Lima

1986 ◽  
Vol 19 (17) ◽  
pp. 41-49 ◽  
Author(s):  
Nakaji Honda ◽  
Masatomo Tanaka ◽  
Shuhei Aida ◽  
Futoshi Sugimoto

Sign in / Sign up

Export Citation Format

Share Document