Research On Design Decision-Making Evolution Of Product Styling Based On Complex Network

With the development of social industrialization and informatization,industrial design has entered a new stage of development.The design principles of industrial design have evolved from the combination of art and technology to considering a diversified and deeply scientific design-making system currently.Product styling design is one of the most important aspects of product development activities,which not only allow products to break away from functional homogeneity,but also assist in conveying product value and shaping different emotional experiences.As product design becomes more and more complex,it is becoming increasingly important to establish a scientific and comprehensive design decision-making system to replace the method of relying solely on experience and intuition for selecting schemes.However,factors such as the ambiguity of the decision-making environment and differences in the cognitive abilities of decision experts in product styling design can affect the accuracy and consistency of decisions,resulting in irrational design decisions that may lead to the failure of product development.In order to solve the above problems,this thesis uses intuitionistic fuzzy numbers to express decision makers’ preference information,establishes a dual-path feedback consensus model,and proposes a product styling design decision evolution system based on complex networks.The main research contents are as follows:(1)Research is conducted on the fundamental theory of product styling design decisions.The theories related to product styling design decision-making are discussed from four aspects:product styling design,design decision-making,complex network and opinion evolution.The product styling design process is explained,and the theoretical methods used for expressing,processing and constructing complex networks in design decision-making are determined,laying the foundation for the evolution model of design decision-making.(2)A product styling design decision-making network based on trust relationship is constructed.The characteristics of product styling design decision-making problem are analyzed,the attribute weights are determined by using Analytic Network Process(ANP),decision information is described using intuitionistic fuzzy numbers.Based on the hybrid trust network that is based on trust relationships,a complex network of product styling design decision-making is constructed,where node connections are based on preference similarity and expert weights and node correlation degree as the node and edge weights.(3)A product design decision-making evolution model is established.The product design decision-making evolution system is built by combining the product design decision network and VIKOR method.A dual-path consensus feedback mechanism is introduced to drive the evolution and update of the complex network,and an aggregated decision matrix reflecting the collective decision is obtained when the group’s views are highly unified.Then the VIKOR method is used to rank the set of schemes,and the final scheme is refined after deepening design to complete the product design decision-making evolution process.Finally,the rationality and the scientific validity of the product styling design decision-making evolution system are verified by using a household sterilizer as an example.The product styling design decisionmaking evolution system is developed based on the MATLAB platform,and experiments and analyses are conducted.The research of this thesis is helpful in reducing the uncertainty and ambiguity of product styling design decision-making,promoting information sharing among the decision-making expert groups,improving the consistency of the decision-making groups’ cognition of design schemes in a dynamically evolving manner,and ultimately improving the quality of product design decision-making to guarantee the smooth progress of product development process.