Research On Multi-stage Heterogeneous Information Fusion Of Product Styling Design Decision-making

With the development of the experience economy,basic product function design can no longer meet the personalized needs of consumers.Product styling design has gradually become an important means to improve product added value and corporate competitiveness.It not only affects consumers’ purchase willingness and subjective satisfaction,but also further influences the company’s market performance and brand image.However,product styling design is a multidisciplinary process involving knowledge in human factors engineering,aesthetics,psychology,and other disciplines.This makes product styling design both multi-objective and refined through multiple stages of iteration.The resulting set of product solutions requires expert decision-making for opinions collection and further improvement.To address the complexity,ambiguity,and uncertainty of design decision-making caused by the distribution of heterogeneous design decision-making attributes in the iterative process of product styling design,this thesis divides the product styling design decision-making process into three stages,using real numbers,interval numbers,and linguistic sets to describe decision-making information.By completing the decision-making matrix,calculating attribute weights and expert weights,integrating heterogeneous decision-making information,and achieving group consensus,this thesis sorts the pros and cons of various solutions by assembling multi-stage heterogeneous decision-making information.The main contributions of this thesis are as follows.(1)The elements,methods,and processes of product styling design are studied,and the multidisciplinary and complexity of this process are analyzed.This thesis explores the evaluation indicators and information types that need to be considered in the decision-making process of product styling design solutions,and studies the key elements of product styling design solution decision-making.(2)This thesis studies the basic theory of axiomatic design,uses the expert trust network to determine expert weights,and adopts group consistency judgment to complete expert decision-making information.Using hierarchical group decision-making and evaluation laboratory methods to determine attribute weights,this thesis applies axiomatic design to measure design solution decision-making information.(3)This thesis divides the decision-making of product styling design solutions into three stages: early,middle,and late stages,and completes the decision-making of product styling design solutions in a hierarchical manner.Considering group consensus and decision-making experts’ personal preferences,this thesis employs a multi-level optimization feedback mechanism based on bounded confidence to facilitate group consensus and uses analytic hierarchy process to determine stage weights,achieving multi-stage design decision-making integration.(4)Taking the design of a CNC grinding machine as an example,six experts’ decisionmaking information was collected,and the expert trust network was used to supplement incomplete information.Axiomatic design was employed,combining attribute weights and expert evaluation of the scheme’s attributes,to integrate heterogeneous information from experts and evaluate the results.Using a multilevel optimization feedback mechanism to optimize evaluation information value and combining stage weights to select the best solution.The above research solves the problem of integrating multidisciplinary,multi-stage,and heterogeneous group decision-making in the decision-making process of product styling design solutions.The CNC grinding machine styling decision-making demonstrates the reliability and practicality of the research method,which can improve the quality and scientific of product styling design solutions.