Complex Product Design System Based On Uncertain Decision

With the development of global economic integration and social informatization,product design is becoming more and more complicated.Research on complex product design has also received more and more attention from researchers.Due to the large amount of uncertainty in the design of complex products,it is necessary to find a suitable decision-making method to deal with these uncertainties.After analyzing and understanding the research status at home and abroad,this dissertation studies the uncertain decision theory and method of complex product design system,and uses these methods to solve the problems of uncertain weight information and uncertain attribute information in the process of complex product design.On the basis of relevant theoretical research,a vehicle design system based on uncertain decision-making is designed and implemented,and good results are obtained by using case data,which verifies the rationality and feasibility of this method.The main work of this dissertation is described as follows:(1)This dissertation introduces the research background and significance of the subject,summarizes the research status of complex product design at home and abroad and the methods of uncertainty decision-making.It focuses on the types and factors of uncertainty in complex product design,and introduces the decision-making methods of uncertain weight information and uncertain attribute information.(2)Aiming at the decision-making problem of uncertain weight information in complex product design,the concept and theory of D-S evidence theory decision-making are summarized,and the description of related problems and the acquisition algorithm of key weights are given.After obtaining the key weight information,an improved TOPSIS method which uses the improved distance factor based on D-S evidence theory is used.This method improves the problem that traditional TOPSIS can not satisfy similarity and proximity simultaneously.The design process of complex products oriented to D-S evidence theory decision-making is also given,and the feasibility of this research method is demonstrated by an example analysis.(3)Aiming at the uncertain decision-making problem of attribute information in complex product design,the related concepts and theories of multi-attribute decision-making with interval intuitionistic fuzzy sets are summarized,the description of related problems and the approach of interval intuitionistic fuzzy multi-attribute decision-making are given,and an improved grey correlation analysis method based on interval intuitionistic fuzzy sets is used.This method is improved by using the improved weight coefficient.Which solves the problem that the traditional grey relational analysis method does not consider the approximation degree between the values of data series.The design process of complex product oriented to multi-attribute decision-making of interval intuitionistic fuzzy sets is given,and the feasibility of this research method is demonstrated by an example analysis.(4)Combining the relevant theoretical research and practical application of the dissertation,the design of automotive system based on uncertainty decision-making is realized,and the feasibility and effectiveness of the proposed method and technology are verified.