Railway Capacity Calculation in Emergency Using Modified Fuzzy Random Optimization Methodology

This paper presents the independence of fuzzy variables as well as its applications in fuzzy random optimization. First, the independence of fuzzy variables is defined based on the concept of marginal possibility distribution function, and a discussion about the relationship between the independent fuzzy variables and the noninteractive (unrelated) fuzzy variables is included. Second, we discuss some properties of the independent fuzzy variables, and establish the necessary and sufficient conditions for the independent fuzzy variables. Third, we propose the independence of fuzzy events, and deal with its fundamental properties. Finally, we apply the properties of the independent fuzzy variables to a class of fuzzy random programming problems to study their convexity.

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The modes of convergence in the approximation of fuzzy random optimization problems

Soft Computing ◽

10.1007/s00500-008-0309-9 ◽

2008 ◽

Vol 13 (2) ◽

pp. 117-125 ◽

Cited By ~ 21

Author(s):

Yan-Kui Liu ◽

Zhi-Qiang Liu ◽

Jinwu Gao

Keyword(s):

Optimization Problems ◽

Random Optimization ◽

Fuzzy Random

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A fuzzy-random optimization approach using fuzzy measure and fuzzy integral for emergency risk coordination of supply chain

2014 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2014.7009710 ◽

2014 ◽

Author(s):

Guo-Fang Zhang ◽

Li-Hui He ◽

Sen Li

Keyword(s):

Supply Chain ◽

Fuzzy Measure ◽

Fuzzy Integral ◽

Optimization Approach ◽

Random Optimization ◽

Fuzzy Random

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Value of information and solution under VaR criterion for fuzzy random optimization problems

International Conference on Fuzzy Systems ◽

10.1109/fuzzy.2010.5584608 ◽

2010 ◽

Author(s):

Shuming Wang ◽

Junzo Watada

Keyword(s):

Value Of Information ◽

Optimization Problems ◽

Random Optimization ◽

Fuzzy Random

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A class of fuzzy random optimization: expected value models

Information Sciences ◽

10.1016/s0020-0255(03)00079-3 ◽

2003 ◽

Vol 155 (1-2) ◽

pp. 89-102 ◽

Cited By ~ 84

Author(s):

Yian-Kui Liu ◽

Baoding Liu

Keyword(s):

Expected Value ◽

Random Optimization ◽

Fuzzy Random

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Taguchi-factorial type-2 fuzzy random optimization model for planning conjunctive water management with compound uncertainties

Environmental Modelling & Software ◽

10.1016/j.envsoft.2017.08.007 ◽

2017 ◽

Vol 97 ◽

pp. 184-200 ◽

Cited By ~ 4

Author(s):

C.X. Wang ◽

Y.P. Li ◽

G.H. Huang

Keyword(s):

Water Management ◽

Optimization Model ◽

Random Optimization ◽

Conjunctive Water Management ◽

Fuzzy Random

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Capacity Management System of High Speed Railway in China

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.474-476.292 ◽

2011 ◽

Vol 474-476 ◽

pp. 292-296

Author(s):

De Wei Li ◽

Bao Ming Han ◽

Xiao Juan Li

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

High Speed ◽

Field Data ◽

Capacity Management ◽

High Speed Railway ◽

Capacity Calculation ◽

Points Of View ◽

Railway Capacity

In order to improve the utility of infrastructure of high speed railway, it is very important to manage the capacity. This paper analyzed the characteristics of high speed railway capacity from a few points of view. Then, it proposed a method of capacity calculation and capacity consumption assessment respectively. Decision support system called CRH-CMS is developed. The use of field data proves that the model is effective and the system is practical to use.

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