An accurate and stable short-term traffic forecasting model is very important for intelligent transportation systems (ITS). The forecasting results can be used to relieve traffic congestion and improve the mobility of transportation. This paper proposes a new hybrid model of grey system theory and neural networks with particle swarm optimization, namely, GNN-PSO. The proposed hybrid model can e...

The suppliers selection is a multiple attribute decision making (MADM) problem. Since the decision maker (DM)s like preferences on alternatives or on attributes of suppliers are often uncertain, and thus the selection of good suppliers becomes more difficult. Grey theory is one of the methods that are used to study uncertainty, it is superior in mathematical analysis of systems with uncertain i...

Supplier selection is a multiple-attribute decision-making (MADM) problem. Since the decision makers (DMs) such as preferences on alternatives or on the attributes of suppliers are often uncertain, supplier selection becomes more difficult. Grey theory is one of the methods used to study uncertainty, being superior in the mathematical analysis of systems with uncertain information. In this pape...

in particular, by identifying clusters of individuals, households, organizations, cities, countries and nationalities with similar behavioural patterns, it can assist in the crafting of more effective interventions and incentives targeted to specific energy cultures. it also helps energy supply companies understand different behavioural clusters among their customers, so as to better tailor the...

Product-sum-type fuzzy controllers are known to have similar characteristics to PD-type controllers. In the case of type-0 control systems, PID-type fuzzy controllers have been proposed in the literature in order to eliminate the steady-state error. However, these control methods, essentially based on conventional PID theory, have no predictive capabilities. The concept of grey system theory, w...

Current grey clustering analysis methods have some defects. So, this paper proposes a prediction model based on improved grey clustering analysis. Firstly, it constructs the grey classical domain and the grey sector domain based on prediction subjects and data and according to relevant theory about grey clustering analysis. Secondly, it categorizes samples according to features of prediction su...

the problems of shortages and quality deterioration of water, have led to an increased interest in the reuse of treated grey water in many parts of the world. this study examined the suitability of locally available materials (beach sand, oyster shells, and charcoal) to treat grey water samples collected weekly from three halls of residence (unity hall, africa hall, and independence hall) on kw...