This study develops a travel time estimation process by integrating a missing data treatment and data-fusion-based approaches. In missing data treatment, this study develops a grey time-series model and a grey-theory-based pseudo-nearest-neighbor method to recover, respectively, temporal and spatial missing values in traffic detector data sets. Both spatial and temporal patterns of traffic data...

The grey theory is mainly uncertainty directed against the systematic model and fit for incomplete information. This paper adopts the grey prediction methods, GM(1,1) and GM(1,1|optimal α), to investigate the return and volatility of major index futures among American and Eurasian markets. The grey relational theory and GM(1,N) model are further used to observe the volatility spillover effect a...

The purpose of this paper is to compare the prediction models constructed through neural network and grey theory, and to apply the prediction model established to study of correlation between linear motion guide rigidity under the stress of tension and compression. Strain data of tension and compression are simultaneously obtained by the computer that is linked with the Universal testing machin...

The main purpose of this study is to evaluate the financial Performance of four listed Taiwanese airline companies by combining grey theory and principal component analysis. The absolute degree of grey incidence (ADGI) matrix was introduced to replace the correlation matrix of the traditional PCA, and build an evaluation model of grey principle component analysis (GPCA). Based on this model, th...

The hit-or-miss transform (HMT) is a fundamental operation on binary images, widely used since 40 years. As it is not increasing, its extension to grey-level images is not straightforward, and very few authors have considered it. Moreover, despite its potential usefulness, very few applications of the grey-level HMT have been proposed until now. Part I of this paper [B. Naegel, N. Passat, C. Ro...

A method to characterize time sequential stereoscopic 3D displays which is based on the measurement of the temporal behavior of the system versus grey levels is presented. OPTISCOPE SA, especially designed for precise measurement of luminance and temporal behavior of LCD displays is used. The transmittance and response time of the shutter glasses is first evaluated. Then the grey to grey respon...

Method: A global search Particle Swarm Optimization (PSO) model is then established based on cluster analysis and grey theory. The three main operational mechanisms are: (1) an external repository to retain the optimal non-dominated solution set; (2) combined cluster analysis and grey theory to ensure a better distribution of the non-dominated solution search process; and (3) a virtual circle c...

By introducing the theory of system safety science, and applying the gray theory prediction method, this paper aims at analysing the major hazards of spontaneous combustion of coal, and divided the impact indicators system into three categories, namely; static indicator, dynamic indicator, and intensive monitoring indicator. The static class indicator determined the hazard class by using risk e...

After doing research on fiber image with low quality and the Grey prediction model, the Grey correlation degree, directed graph and existing edge detection algorithm is addressed and this article proposed a new edge detection algorithm to obtain complete and continuous edge and to improve the defects in traditional operators profiled fiber contour extraction, such as the discontinuous edge, the...

This paper mainly investigates the environmental and economic impacts of worldwide use of electric vehicles. It can be concluded that governments have good reason to promote the use of electric vehicles. First, the global vehicles population is evaluated with the help of grey forecasting model and the amount of oil saving is estimated through approximate calculation. After that, based on the ga...