Deconstruction of Intelligent Vehicle Cyber-Physical System Based on Fuzzy Soft Set and Multi-Attribute Group Decision Making

Intelligent Vehicle Cyber-Physical System (IVCPS) is an emerging and future transportation system, that is a complex system that integrates cyber space with physical systems. This study conducts a comprehensive review of existing literature to delve into the issues of deconstruction and optimization in IVCPS. Considering the complexity of IVCPS, we draw upon the theory of deconstructionism and propose the concept of deconstructing IVCPS as a whole, analyzing its various functional features. In this research, Fuzzy Soft Sets are utilized to mainly handle the fuzzy and uncertain information in IVCPS, enabling a more accurate description and modeling of IVCPS, and can also provide a solution to the problem of small sample. The Multi-attribute Group Decision-making Method is applied in the decision-making process of system deconstruction, aiming to select the optimal deconstruction strategy and determines the final solution. In conclusion, this study provides a novel perspective and methodology for the deconstruction and optimization of IVCPS, offering valuable insights and references for research and applications in related fields.