If there are grey variables in the constraint conditions in uncertain programming, the programming is called grey chance constrained programming. In this paper we provide the concept of grey chance constrained programming. When the whitenization weight functions of grey variables are known and the distribution functions are constructed, we studied the certainty equivalence solution of grey chan...

This letter describes algorithms for global thresholding of grey-tone images which use second-order grey level statistics. Two measures of interaction between classes of intensity levels are defined on simple co-occurance matrices and are used to evaluate and select thresholds. One of these measures is seen to be independent of the grey level histogram and effective in selecting thresholds for ...

-This paper proposes a grey interval relation TOPSIS method for the decision making in which all of the attribute weights and attribute values are given by the interval grey numbers. In this paper, all of the subjective and objective weights are obtained by interval grey number and decision-making is based on four methods such as the relative approach degree of grey TOPSIS, the relative approac...

Accurate prediction of foreign tourist numbers is crucial for each country to devise sustainable tourism development policies. Tourism time series data often have significant temporal fluctuation, so Grey–Markov models based on a grey model with a first order differential equation and one variable, GM(1,1), can be appropriate. To further improve prediction accuracy from Grey–Markov models, this...

For grey stochastic multi-criteria decision-making problem with criterion value as extended grey number, the study proposes grey stochastic multi-criteria decision-making approach based on Hausdorff distance. First, it provides definition and operation rule of extended grey number stochastic variable and expectation, then obtains expectation decision matrix about grey number based on grey decis...

A Bayesian probability based tissue segmentation method is presented, which makes use of the grey level information in the images and also the local grey level slope. The grey level distributions are modelled as a combination of Gaussian distributions and triangle-Gaussian convolutions. The local grey level slope distribution is modelled as a linear combination of Rician distributions. The para...

Capital cost, resale value and running cost including maintenance costs, repairing costs, and operation costs of equipment are considered as crisp numbers in ordinary replacement problem. Nevertheless, in a special situation such as operating military equipments during wartime, the working efficiency of the machine and its related costs are no longer crisp but uncertain. This uncertainty can be...

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...

In this work, we shall present some novel process to measure the similarity between picture fuzzy sets. Firstly, we adopt the concept of intuitionistic fuzzy sets, interval-valued intuitionistic fuzzy sets and picture fuzzy sets. Secondly, we develop some similarity measures between picture fuzzy sets, such as, cosine similarity measure, weighted cosine similarity measure, set-theoretic similar...

Accurate prediction of the future electricity consumption is crucial for production electricity management. Since the storage of electrical energy is very difficult, reliable and accurate prediction of power consumption is important. Different approaches for this purpose were used. In this paper, Grey model (1,1) based on grey system theory has been used for forecasting results. Annual electric...