Optimization And Application Of Multi-criteria Weight For Dominant Decision-making

In modern society,there are a large number of multi-criteria decision-making problems,such as the selection of landfill sites,the selection of emergency plans,the determination of water prices and so on.Multi-criteria decision-making has played a key role in solving these problems.Analyzing the problem from multiple dimensions can better evaluate the problem.Therefore,the application of multi-criteria decision-making methods is becoming more and more widespread.In the process of applying multi-criteria decision-making methods,the criterion weight has an important influence on the decision result,not only in the importance of the criterion,but also on the evaluation value of the decision alternatives and its difference.For this reason,research on the design of criterion weights in dominant situations has become an important scientific issue.Aiming at the problem of multi-criteria weight design of dominant features,this paper mainly introduces the background and significance of the research,and summarizes the research at home and abroad,and finally gives the research content and technical route in the first chapter.In the second chapter,related theories are introduced,including the content of multi-criteria decision-making methods and weight design methods,and related explanations are made to dominant decision-making.The third chapter mainly analyzes the existing preference function,and proposes a new preference function.On this basis,a weight optimization model is designed with the goal of maximizing the overall alternatives discrimination.The fourth chapter firstly analyzes the compromise solution in group decisionmaking,and then analyzes the influence of the weight change on the value of the program benefits,and finally designs the weight adjustment optimization model considering the discrimination degree of partial alternatives.The fifth chapter introduces the background of renewable energy power generation and the selection of related indicators.The two methods proposed in this paper are applied to the case,and the same evaluation results are obtained.In the last chapter of this paper,the research conclusions and research prospects of this thesis are mainly introduced.The main contributions of the paper are as follows:（1）Based on the Gaussian preference function in PROMETHEE method,a new preference function is proposed,and a weight optimization model is proposed based on the principle of maximum discrimination of the overall alternatives.（2）Aiming at the situation of multiple compromise solutions in the VIKOR method,a weight adjustment method is proposed based on the maximum discrimination of partial alternatives.