Research And Realization Of Internet-Based Car Styling Decision Platform

Due to the increasing competition pressure in car market, it is being a vital meaning for car manufacturers to constantly launch new car style to possess more market shares. That is a challenge for the process of traditional car styling decision. Starting with how to make car styling decision scientifically and quickly, this dissertation analyzes the problems in traditional car styling decision, implements both the advanced internet-based technology and group decision making, designs and develops an internet-based platform for car styling decision and finally testifies the effectiveness of the platform.The main creative works and achievements in this dissertation are as follows:(1) On the basis of detail investigation on many car manufacturers, this dissertation analyzes the professional fields influencing the car styling, valuates an index system and interprets it specifically.(2) Aiming at the problems existing in the process of car styling decision, this dissertation introduces advanced Internet technology and group decision making, compares and chooses a better decision-making method and designs the process of car styling decision under the Internet Environment.(3) Based on the definition of vector similarity, I suggest a new Group Consistency algorithm which could accurately assess the experts consistency by calculating the vector similarity judged by the experts and could quickly find the program which has the biggest evaluation difference by using the variance calculating the Group Consistency. Compared to the previous one, the new Group Consistency algorithm could speed up the convergence of expert group thought and ultimately reach the agreement.(4) This dissertation designs and develops an Internet-based platform for Car Styling Decision and verifies the effectiveness of it. This platform has six components: Speaking and Discussing module, expert evaluation module, Query Module, group consistency judgment module, assemblies module, as well as the background management module. This platform could also be used to achieve the remote decision-making which could provide a guarantee for the quick and scientific Car Styling Decision.