Research On Multi-attribute Decision-making Method Of Product Innovation-design Scheme Selection Based On Fuzzy Theory

Choosing the best product innovation design scheme is one of the core links of product innovation.In the selection process of product innovation design scheme,due to the difference and asymmetry of knowledge structure and professional background of different innovation subjects,the evaluation of different schemes has certain limitations and fuzziness,which increases the complexity of product innovation design process.Therefore,there is how to scientifically and reasonably compatible with a variety of fuzzy form information and comprehensively and accurately measure the phase between attributes The problem of interrelationship.However,at present,the research on this aspect is still in the exploratory stage.Therefore,this study combines the complementary advantages of HB-SIR method and Zhenyuan integral,takes the selection method of product innovation design scheme as the research object,considers the scheme comparability and attribute relevance in the selection process of innovation design scheme,introduces fuzzy theory,and studies the expansion of fuzzy information form and the selection of product innovation design scheme.Specifically,this study mainly covers The following three questions are discussed:First,it studies the combination of different fuzzy information expression forms and multi-attribute decision-making sequencing theory,and realizes the compatible calculation of innovative design schemes which are difficult to compare under different information forms.In this study,a multi-attribute decision-making method based on HB-SIR is proposed for product innovation design scheme selection.The problem of product innovation design scheme selection is studied when the attributes are independent and there is no correlation between them.The fuzzy set and intuitionistic fuzzy set are used to describe and transform the linguistic evaluation information,and the final complete ranking of the scheme is obtained based on HB-SIR method.Second,considering that the existing methods of product innovation design selection are difficult to accurately measure the interrelation among attribute indexes,this paper explores how to realize the comprehensive measurement of these interrelations and improve the accuracy of the multi-attribute decision-making method of innovation design scheme selection when there is interrelation between attributes.In this study,?-law is used to measure the correlation between attributes in product innovation design scheme,and Zhenyuan integral is used as information integration operator to measure the correlation between attributes.Thirdly,based on the multi-attribute decision-making method proposed in this study,this paper studies how to apply the method proposed in this study to the selection of innovative design schemes for refrigerators and other products.The results show that compared with the existing methods,the proposed method can not only be compatible with more fuzzy information forms,but also more accurately consider the correlation between attributes.This shows the feasibility and effectiveness of the decision-making method proposed in this study.To sum up,this study combines HB-SIR method and Zhenyuan integral to study the multi-attribute decision-making method considering scheme comparability and attribute relevance,and applies it to the selection process of product innovation design scheme,improving the method system of product innovation design scheme selection..