Smart data selection can quickly sieve valuable information from initial data. Doing so improves the efficiency of analyzing situations to aid in better decision-making. Past methods have mostly been based on expert experience, which may be subjective and inefficient when dealing with large, complex datasets. Recently, system analysis method has exploited find key However, few studies address i...

This paper proposes a SSADT data analysis method to estimate product reliability based on time series analysis and grey theory. A RTVAR degradation time series model is proposed based on SSADT data. A grey prediction method of RTVAR model is put forward to predict product lifetime. By using the suggested method, product reliability is obtained. An example is presented as a verification of the m...

Energy simulation is a vital part of energy policy of a country, especially for a developing country like China where energy consumption is growing very rapidly. The present study has been conducted to simulate the total primary energy consumption in residential sector in rural areas in Chongqing by using macro and micro drivers including population size, number of households, persons per house...

In this paper, grey system theory and DEA are combined to establish a grey DEA model. In traditional DEA model, Input and output values of decision-making groups are all real numbers and real variables. They are replaced by grey numbers and grey variables in grey DEA model respectively. Using positioning solution method of grey linear programming, we prove the necessary condition for grey effec...

some incidents in urban railway systems affect the function of the subway’s company adversely and they could disorder the services. these events may inflict irreparable damage to passengers, employees and equipment. by recognizing the hazards existing in this type of transportation system and evaluating and prioritizing risks, we can perform appropriate actions to reduce the probability and sev...

The theory of grey system is used when sufficient information of the community under study is not in hand. The grey forecast model is proper when the information variety is fix and certain. Grey model can apply some additional computations to improve forecasting activities when data is insufficient. Through using improved grey model, the assessment error decreases significantly. This study made...

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...