The Strategy Of Design Problem Solving Based On Cooperative Processing Of Visual Features And Semantic Features

By researching the 973 National Research Project, the Basis of the Similarity of Modern Design Application Software, this thesis provides theoretical and technical support towards the sub-project which was taken charge by Hunan University, known as the Aid System for Professional Industrial Design Knowledge.The thesis mainly focuses on a problem solving strategy of design which is based on the cooperative processing of visual features and semantic features is construced, the mechanism of design problem solving based on both oncoding, the design program be optimized by characteristic of design thinking, the accuracy and validity of the design problem solving be improved. Based on the Cognitive Psychology theory researching, visual features and semantic features of the design problems solving were scientific explained, the extracting method of visual features and semantic features be researched. This paper analyzes how this strategy will effectively promote the process of innovation, using car styling as an example, how to cooperate the Imaginary Thinking and Logical Thinking in the design problems solving. The content of this thesis is firstly researching the application of the qualitative and quantitative method in the process of solving the design problems. In addition, the thesis establishes a rationally and sensibly integrated design problemsolving model and discusses the relationship with the analysis of qualitative and quantitative method. Towards the uncertainty of the settlement of qualitative and quantitative model, this thesis secondly uses the cloud model as a qualitative and quantitative mechanism to solve the design problems. Finally, the thesis also gives some advices of how to integrate the mechanism with the CBAS system.