Based on Fuzzy Logic a Research on Traveling Direction of the Car Model
Fuzzy logic is a new intelligent algorithm for solving the complex problems of non-qualitative provides a new way of thinking.Vehicle movement is a very complex process,and fuzzy logic is perfect for this complex situation.Through the use of fuzzy logic theory to study the direction of vehicle travel.The experiment results show that by the use of fuzzy logic,the control of the car is achieved the desired results.Using fuzzy logic algorithm is better than using the traditional PID control strategy in the experiment.
Due to the tasks of the national energy saving policy and other reasons, the sales quantity of 2011 for traditional car shows a downward trend, after the rapid growth phase of 2009–2010. Comparatively, the new energy vehicles are more suitable for national energy reduction policies. The new energy vehicle industry should be the trend of the future development for the automobile industry. Therefore, a reasonable plan for state-owned new energy vehicle industry is quite important. This article developed an adaptive balanced scorecard knowledge-based system for industry strategic planning. This knowledge-based system also uses the partial least squares regression analysis to determine the specific strategy weights. So this adaptive BSC knowledge-based system can help providing recommendations for the industry development plan.