The Internal Acceptance Of A Planning Exhibition Hall Based On Fuzzy Comprehensive Evaluation

Urban Planning Exhibition Hall is the rapid development of national economy in China, the speed of urbanization is increasing rapidly, the role of urban and rural planning regulation and control of urban and rural construction and development is increasingly apparent,public participation in urban and rural planning needs of growing environment. As a new industry, urban planning exhibition hall has its unique function and characteristic, but the acceptance of city planning exhibition hall is i nfluenced by many factors.This article first,in view of the company's current internal acceptance method for comprehensive analysis. The analysis results show that the current acceptance is the implementation of national standards for decoration and intelligent design. Although it seems reasonable to carry out inspection on the basis of national standards,But urban planning exhibition is a kind of special user requirements of the sensory experience project,It did not consider the relevant evaluation. As a result of interior decoration design and construction and related hardware fully meet the requirements,but visitors are not fully enjoyed. In order to improve the internal acceptance method,this paper proposes to use fuzzy comprehensive evaluation method to build the internal inspe ction model of exhibition project. On this basis,to improve the design of internal acceptance index system of urban planning exhibition project. Finally,with the approval of A Planning Exhibition Hall,test the validity of the proposed evaluation method.The results of the study show that: The special project of city planning exhibition hall of the need to improve internal acceptance. Acceptance criteria should be considered in four aspects: the contents of the display, the display mode, the multimedia exhibition and the display effect. By using the theory of fuzzy comprehensive evaluation,combination of quantitative and qualitative evaluation,expert scoring combined with computational analysis can make the evaluation results more reliable, more scientific acceptance management.