The grey theory mainly works on systems analysis with poor, incomplete or uncertain messages. The popular grey model, GM(1,1) is efficient for long-term port throughput forecasting. However, it is imperfect when the throughput increases in the curve with S type or the increment of throughput is in the saturation stage. In this case, the throughput forecasting error of grey system model will bec...

Aiming the problem of low accuracy during establishing grey model in which monotonically decreasing sequence data and traditional modeling methods are used, this paper applied the reciprocal accumulated generating and the approach optimizing grey derivative which is based on three points to deduce the calculation formulas for model parameters, established grey GRM(1, 1) model based on reciproca...

Wire electric discharge machining (WEDM) is one of the advanced machining processes. Response surface methodology coupled with Grey relation analysis method has been proposed and used to optimise the machining parameters of WEDM. A face centred cubic design is used for conducting experiments on high speed steel (HSS) M2 grade workpiece material. The regression model of significant factors such ...

Grey theory [1] has been proposed over 30 years. Great endeavor has been devoted to increase the forecasting precision. One of methods treated the forecasting error to become the modified grey forecasting model. Hsu and Wen [2] modified original GM (1,1) models are improved by using residual modifications with Markov chain sign estimations. Hsu and Chen [3] improved grey GM (1,1) model, using a...

It has always been an important research objective to improve prediction accuracy with limited data. The Grey Model is a typical example in forecasting industrial water c onsumption with a small amount of data. As to the basic grey forecasting models, the prediction accuracy can still be improved. So this paper proposed an improved new information and equal dimensional grey model. The industria...

We propose a hybrid forecast based on extended discrete grey Markov and variable dimension Kalman model and show that our hybrid model can improve much more the performance of forecast than traditional grey Markov and Kalman models. Our simulation results are given to demonstrate that our hybrid forecast method combined with degree of grey incidence are better than grey Markov and ARFIMA model ...

Recently, researchers have shown an increased interest in predicting the situation of incoming security situation for organization’s network. Many prediction models have been produced for this purpose, but many of these models have various limitations in practical applications. In addition, literature shows that far too little attention has been paid in utilizing the grey Verhulst model predict...

The capacity (state of charge/SoC) and voltage of lithium-ion batteries are of prime importance in electric vehicles, so their condition-monitoring techniques are extensively studied. This paper focuses on the application of the grey system theory to the parameters analyzing and predicting behavior during the discharge/charge cycles of the battery. Firstly, Grey Relation Analysis (GRA) is appli...

Abstract Taking account of the time-delayed phenomenon in diffusion of new products, we propose the timedelayed Verhulst model and then establish grey time-delayed Verhulst model using the method of greying differential equations. The related parameter packets of the novel model is obtained under the rule of OLS. The results show that traditional grey Verhulst model is a special example of grey...