Based on Grey System Theory and the inverted normal quality gain–loss function, grey function model is put forward. According to constant compensation hyperbolic tangent compensation, with nominal-type characteristics, larger-the-better characteristics smaller-the-better built. A multivariate multiple sub indexes concept of cost are proposed. Case analysis applied control dam concrete construct...

This paper presents a better prediction model by the integration of neural network technique and grey theory for the stock index. In this paper, the grey theory applied include grey forecast model and grey relationship analysis. A GM(l, l) grey forecast model was applied to predict the next day’s stock index. Grey relationship analysis was used to filter the most important quantitative technica...

The grey system theory, which has been extensively used in many areas, is appropriate for forecasting. It is necessary to put forward new models or algorithms to improve its performance, especially for forecast accuracy. In the forecast process of grey model, the size of data sample and the number of variables can affect forecast accuracy. In this paper, we first put forward a new method to cho...

Grey theory was proposed by Prof. Deng [1] for more than 30 years. It has been successfully applied in many academic fields, such as electrical engineering, education, mechanical engineering, agriculture, high-tech sectors and so on [2-8]. Grey theory is famous for easy calculation and satisfactory result. Comparing to other methods, grey theory need only as few as four data could be modeled to...

Linear assignment problem is one of the most important practical models in the literature of linear programming problems‎. ‎Input data in the cost matrix of the linear assignment problem are not always crisp and sometimes in the practical situations is formulated by the grey systems theory approach‎. ‎In this way‎, ‎some researchers have used a whitening technique to solve the grey assignment p...

This paper presents a grey–fuzzy predictive controller that is based on fuzzy theory, grey prediction and on-line switching algorithms. The grey predictor is applied to extract key information and reduce the randomness of the measured non-stationary time-series signals from sensors, and send the prediction information to the fuzzy controller. The complete mathematical model is derived and the s...

The financial comprehensive appraisal method plays an essential role in decision-making for investors and reflecting real company’s financial comprehensive situation. Because of the grey characteristics of financial information, this paper constructs a grey relational model with a index system of financial comprehensive appraisal by grey relation theory. It is applied to listed companies in rea...

With the rapid development of cloud computing, more and more cloud services are provided to users. Faced with multiple cloud services, how to scientifically predict and assess the performance of cloud service is an imperative task. To cope with the challenge, an prediction scheme via JOGM(1,1) model is proposed based on grey system theory, in which the performance of cloud service is quantified...

This paper presents the scientific study of the effectiveness and action principle of head meridian acupoint massage by applying the grey data model analysis approach. First, the head massage procedure for massaging the important head meridian acupuncture points including Taiyang, Fengfu, Tianzhu, Fengqi, and Jianjing is formulated in a standard manner. Second, the status of the autonomic nervo...

The purpose of this study is to develop a decision making model based on the grey relational analysis for supplier selection. Using a multi-criteria decision making approach, the grey system theory has been used to capture the complexity inherent in supplier selection process. In order to enhance the effectiveness of the proposed methodology, an integrated, two-phase model is proposed which int...