Endogenous Performance of Rail Sections in Brazil: A Novel Two-Dimensional Fuzzy-Monte Carlo Approach-Reference-Cited by-同舟云学术

Endogenous Performance of Rail Sections in Brazil: A Novel Two-Dimensional Fuzzy-Monte Carlo Approach

Published:2023-02-17 Issue:4 Volume:13 Page:2618
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Wanke Peter Fernandes¹^ORCID,Pimenta Roberto²,Antunes Jorge¹^ORCID,Tan Yong³^ORCID,Hadi-Vencheh Abdollah⁴^ORCID

Affiliation:

1. COPPEAD Graduate Business School, Federal University of Rio de Janeiro, Rua Paschoal, Lemme, 355, Rio de Janeiro 21949-900, Brazil

2. Getulio Vargas Foundation, EBAPE—Brazilian School of Public and Business Administration, Rio de Janeiro 22250-900, Brazil

3. School of Management, University of Bradford, Bradford BD7 1DP, UK

4. Department of Mathematics, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan 81595-158, Iran

Abstract

This paper investigates the endogenous source of railway performance in Brazil by focusing on several rail sections. A novel Two-Dimensional Fuzzy-Monte Carlo Analysis (2DFMC) approach is proposed including a multi-attribute decision-making (MADM) model based on type-2 fuzzy sets (T2FS) and a Stochastic Structural Relationship Programming (SSRP) Model based on neural networks. Results suggest that the level of inclination of the rail operators to use the bottlenecked rail sections influences the measurement of idleness, in a chained effect. It is suggested that the balance and coordination among bottleneck, minimum curve radius, and installed capacity are prerequisites to improve railway performance.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/4/2618/pdf

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