Paper Info
Title
The Fuzzy-AI Modeling for Optimization of Long-Term Metro Vehicle Repair
Abstract
In this paper, the “Fuzzy-AI model” is applied for investment decision of optimum repair of multiple metro vehicles. The model solves this highly uncertain and sophisticated problem both based on its fuzzy analysis and reasoning of existing distressed metro vehicles. The VDSI (vehicle distress state indicator) is used in finding the optimum investment management of repair, which is a fuzzy synthesis of quantized indicator for the distressed vehicle. An optimization of long-term vehicle repair investment planning is suggested.
Year
DOI
Venue
2009
10.1109/FSKD.2009.756
FSKD (6)
Field
DocType
Volume
Computer science,Fuzzy logic,Operations research,Fuzzy set,Investment planning,Artificial intelligence,Investment management,Probability density function,Machine learning,Maintenance engineering
Conference
6
Issue
Citations 
PageRank 
null
2
0.57
References 
Authors
2
4
Name
Order
Citations
PageRank
Shaopei Lin161.82
Hong Zheng24314.15
Hao Hu3224.89
Jun Yan4138.90