Multi-criteria Group Decision Making Of Public Project With Public-participation Based On Fuzzy Preference Relations

Investment of public project construction has been an important part of China's fiscal spending.In order to make public projects satisfy the needs of the public better,the Chinese government pays highly attention to "public participation" day after day.In 2014,the Fourth Plenary Session of the 18 th Central Committee suggested "public participation" rules should be one of the major administrative decision-making legal procedures for the government.And this meeting has also written it into the law which is about big decisions on major issues of comprehensive progress Law-based governance.At present,researches on the public participation in public project-related issues are in the theoretical level of participation system.Introducing the public participation to the public projects' decision-making process is obviously significant.Many related researchers have recognized this point and approved it.But how to make scientific decisions reflect the public's will objectively has become an urgent problem.This dissertation makes a series of researches on public project decision making problem.The main innovations in the research are described in the following four main aspects.1.By analyzing the empirical data,the public shows a strong willingness to participate in public projects' decision making process,and the government holds supportive attitude.For the reason that the number of public participation in public project decision-making groups is to large,we introduce the large group clustering thought.The cluster analyses are based on the degree of similarity between indviduals.After dividing the public into several categories,we can do the preliminary processing of empirical data.And then we lay the foundation for the subsequent decision-making research.2.In this dissertation,we put forward the method of using the simplified intuitionistic fuzzy number method to describe the decision-making results of the public group.This method is simple and it can consider the public group's attitude to the public projects' decision making problems from two opposing angles: the degree of satisfaction and degree of not-satisfaction.In addition,datas obtained by this method can transform into strict intuitionistic fuzzy numbers quickly and completely.Based on intuitionistic fuzzy number,a different distance formula is proposed to measure defference degree between any two intuitionistic fuzzy numbers.Considering this distance formula,we build a multi-criteria decision making model which can deal with the public participation of public project with unknown evaluation criterion weights.3.During our research,we introduce computational experiments to solve the problem of public group clustering.Each individual is treated as a behavioral subject.Accoding to the similarity between the public decision results,we construct the clustering model.By this model,the number of clustering,the average conformance and the standard consistency of the cluster are all investigated.In order to obtain the the exact clusters' number and specific classification,we need to analysis the evolutionary results carefully.4.This dissertation describes the decision results of the expert group by interval intuitionistic fuzzy number which is the most closely related to the decision makers' preference psychology.We propose a formular to consider all of the fuzzy information contained in the decision results in the form of interval intuitionistic fuzzy numbers.Furthermore,we build a model with the balance coefficient.This model can solve the decision problems with unknown criteria weight.Then the final alternatives' ranking is obtained by calculating the total distance between the distance to the positivc ideal and distance to the negative ideal.