Grey theory is an effective method to solve uncertainty problems with discrete data and incomplete information. This paper proposes an improved grey GM (1, 1) model, using a technique that combines residual modification with Markov chain model. Proposed Grey-Markov model, applied as a case study to annual output of Taiwan Hsinchu Industries Science Park, could clearly improve forecast accuracy ...

An on-line rule tuning grey prediction fuzzy control system is present in this paper, which contains the advantage of the grey prediction, fuzzy theory and the on-line tuning algorithm. The on-line rule tuning grey prediction fuzzy control system structure is constructed so that the rise time and the overshoot of the controlled system can be maintained simultaneously. Keyword: Grey predictor, F...

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...

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, developed hereafter, is dev...

Grey theory is one of the new mathematical theories born out of the concept of the grey set. It is an effective method used to solve uncertainty problems with discrete data and incomplete information. In this paper, an improved grey GM (1, 1) model, using a technique that combines residual modification with the Markov chain model, is proposed. This paper employs the annual supply value of Taiwa...

Grey system theory has been widely applied to many domains such as economy, biology, agriculture, control and so on. Based on the theory of grey system, this paper established GM(1,1) grey predict modeI for the first time to forecast Chinese every hundred rural households owned computers and every hundred rural households owned mobile phone. The predicting results are almost close to the actual...

Short-term wind speed forecasting is useful for power system to regulate power dispatching plan, decrease reserve power needed and increase the reliability of system. The method of the short-term wind speed prediction is proposed in this paper. The data of wind speed in Dafeng, Jiangsu Province of China is predicted by the model combined with the grey system theory (GST). A grey system model co...

The grey system theory studies the uncertainty of small sample size problems. This paper using grey system theory in the deformation monitoring field, based on analysis of present grey forecast models, developed the spatial multi-point model. By using residual modification, the spatial multi-point residual model was developed in further study. Then, combined with the sedimentation data of Xiaol...

The trust solutions to routing networks are faced with the evaluation of behavior trust and how to exactly evaluate the behaviors under the circumstance of existing recommend deceptive behavior such as providing fake or misleading recommendation. In this paper, by learning trust relationship from routing network, a trust evaluation model based on Grey Clustering Theory is proposed. The model ad...