By combining the multiple objective decision making-ideal interval method and the entropy value theory together,multiple objective decision making-ideal interval method based on coefficient of entropy is set up and applied to evaluate the groundwater quality by the new method.

Based on the statistical analysis of Chinese T213,Japanese and German numerical forecasting product\'s Jiaozuo precipitation forecast situation from June to August,the integrated forecast was made by using multi-weighting method.

After its decision way and decision method are analysed, a multi-objective decision algorithm is put forward,which doesn t need the decision-makers weights.

For this problem, present decision-makers often define an interval number to denote this index value, but none has studied the interval number decision model in grey target decision.

Based on the grey target decision theories, a multi-attribute weighted grey target decision model is established.

Taking into account the correlation among different indexes as well as the influences of both different dimensions and differences of importance on effect of decisions,this paper deals with improving traditional grey target decision methods with the approach of weighted Mahalanobis distance and discusses the property of the improved grey target method.