An improved grey neural network model for predicting transportation disruptions

C Liu, T Shu, S Chen, S Wang, KK Lai, L Gan - Expert Systems with …, 2016 - Elsevier
Transportation disruption is the direct result of various accidents in supply chains, which
have multiple negative impacts on supply chains and member enterprises. After …

Correlation analysis and prediction of PEM fuel cell voltage during start-stop operation based on real-world driving data

R Huang, Y Peng, J Yang, X Xu, P Deng - Energy, 2022 - Elsevier
The accurate prediction of fuel cell voltage is critical for fuel cell health management, which
directly affects the performance and cost of fuel cell vehicles. This paper proposes analysis …

[HTML][HTML] Forecasting manufacturing industrial natural gas consumption of China using a novel time-delayed fractional grey model with multiple fractional order

Y Hu, X Ma, W Li, W Wu, D Tu - Computational and Applied Mathematics, 2020 - Springer
Improving the proportion of natural gas consumption of the manufacturing industry would
make significant contributions to the low-carbon and sustainable development of China …

Solving a grey project selection scheduling using a simulated shuffled frog leaping algorithm

H Amirian, R Sahraeian - Computers & Industrial Engineering, 2017 - Elsevier
This paper considers the integrated problem of project selection and scheduling in a tri-
objective grey environment. First a pure integer model is proposed to optimize the time …

Predicting the project time and costs using EVM based on gray numbers

S Nadafi, SH Moosavirad, S Ariafar - Engineering, Construction and …, 2019 - emerald.com
Purpose The purpose of this paper is to determine the project completion time and cost
under non-deterministic conditions using interval gray numbers (IGNs) …

Effects of Diatomite and SBS on Freeze‐Thaw Resistance of Crumb Rubber Modified Asphalt Mixture

H Wei, Z Li, Y Jiao - Advances in Materials Science and …, 2017 - Wiley Online Library
Asphalt mixture is susceptible to moisture damage under the effect of freeze‐thaw (F‐T)
cycles. In this paper, crumb rubber (CR) was used to modify stone mastic asphalt (SMA) and …

Improving electricity demand forecasting accuracy: a novel grey-genetic programming approach using GMC (1, N) and residual sign estimation

FE Sapnken, BS Diboma… - Grey Systems: Theory …, 2024 - emerald.com
Purpose This paper addresses the challenges associated with forecasting electricity
consumption using limited data without making prior assumptions on normality. The study …

A hybrid integer grey programming for an integrated problem of project selection and scheduling with interval data

H Amirian, R Sahraeian - Journal of Industrial and Production …, 2018 - Taylor & Francis
Projects are inherently subject to uncertainty since in most cases, the information at hand is
either approximate or partial. Grey numbers can handle the uncertainty in projects without …

A NEW APPROACH FOR MULTI-SCENARIO PROJECT CASH FLOW ANALYSIS BASED ON TODIM AND CRITICAL CHAIN METHODS UNDER GREY …

S Ali Mirnezami, S Meysam Mousavi… - … Studies & Research, 2020 - search.ebscohost.com
Prognosticating and monitoring the financial conditions of the projects in terms of the cash
are crucial to be considered for companies. Generating reliable cash flow is essential for …

[PDF][PDF] Pak. J. Statist. 2019 Vol. 35 (4), 301-313 BAYESIAN PROCEDURE MODIFIED BY FOURIER SERIES RESIDUAL TO FITTING THE LOGISTIC GROWTH MODEL

SH Kamar - Pak. J. Statist, 2019 - researchgate.net
The logistic growth model is used in multiple scientific applications, and it has been applied
in the Bayesian procedure to estimate this model. It has also been employed in this paper by …