Research On Two-sided Match Methods Of Venture Capitalists And Investment Enterprises With Heterogeneous Information

With the rapid development of network information technology and fast changing economic situation all the time,the enterprises barely have the survival space and the development choice when they just depend on their own power and resources.So the enterprises must seek for the appropriate firms to cooperate,jointly complete the project just to make up for the enterprises' scarcity of resources.Under the current economic situation,the researches on venture capitalists and investment enterprises two-sided match are full of necessities and profitability.But in this thesis,how to effectively and efficiently tackle the two-sided match between the venture capitalists and investment enterprises is the main problem.Recently,there are existing some problems on two-sided match between the venture capitalists and investment enterprises in some articles,such as limited types of the evaluation indexes,the approaches which to calculate the evaluation indexes are seems to simple and subjective.There are some bindings on satisfaction function and optimization model,currently researches on two-sided match existing some vulnerabilities.In this thesis,we should build a set of complete evaluation indexes,and determine the types of the evaluation indexes by the actual situation.Of course,we should introduce some influence variables into the satisfaction function and optimization model to improve the accuracy of the result.So this thesis aims at tackling some actual problems on venture capitalists and investment enterprises two-sided match.Firstly,this thesis shows the research status and necessities on two-sided match problems,and illustrates the background of this thesis.Secondly,based on the related foreign and domestic articles,this thesis uses operations research and management knowledge to build the two-level hierarchical structure suitable evaluation indexes.According to the actual situation,this thesis determines the specific approach which to get the numbers of the evaluation indexes.Thirdly,we make comparisons to solve the indexes' weights,then we choose entropy weight method.Under the prospect theory,participants' risk preference is introduced into the satisfaction function.In the end,by the principle of the fair,justice and sustainability cooperation,this thesis build the two-sided match multi-objective optimization model and raise the solving method.A practical case is used to illustrate the effectiveness and applicability of the methods proposed in this thesis.