Thermal errors are often quoted as being the largest contributor to inaccuracy of CNC machine tools, but they can be effectively reduced using error compensation. Success in obtaining a reliable and robust model depends heavily on the choice of system variables involved as well as the available input-output data pairs and the domain used for training purposes. In this paper, a new prediction mo...

In ordinary transportation problems, it is always supposed that the mileage from every source to every destination is a definite number. But in special conditions, such as transporting emergency materials when natural calamity occurs or transporting military supplies during wartime, carrying network may be destroyed, mileage from some sources to some destinations are no longer definite. It is u...

It is important for executives to predict the future trends. Otherwise, their companies cannot make profitable decisions and investments. The Bass diffusion model can describe the empirical adoption curve for new products and technological innovations. The Grey model provides shortterm forecasts using four data points. This study develops a combined model based on the rolling Grey model RGM and...

Structured documents have become a widely accepted concept for document manipulation applications like editing, formatting, and archiving. However, some aspects of structured documents are still not well understood. In particular, the transition in structured documents from logical structure to contents, is a grey area in which different systems use different interpretations. In this article, w...

It often results in sublevel grey full rank square matrix to become non-feasible solution square matrix when there are null-strategy variables and redundancy constraints in the grey matrix solving method of grey matrix game. We can not directly find the optimum grey game solutions in the non-feasible solution square matrix. However, we define concepts of nullstrategy variables and redundancy co...

GM(1,1) models have been widely used in various fields due to their high performance time series prediction. However, some hypotheses of the existing GM(1, 1) model family may reduce prediction cases. To solve this problem, paper proposes a self-adaptive model, termed as SAGM(1, which aims defects GM (1,1) by deleting modeling hypothesis. Moreover, novel multi-parameter simultaneous optimizatio...