Big Data Analysis and Calculation of Capital Chain Break Risk Intelligent Path Identification Based on FISM Model

Abstract

TIn the fierce market competition, small and medium-sized enterprises are frequently caught in financial difficulties or even bankruptcy due to capital chain rupture. Identifying and analysing the risk path of capital chain rupture and improving the operation and management of enterprise capital chains has become an urgent theoretical and practical problem. Based on the theoretical analysis of the causes of capital chain fracture, this paper puts forward 17 indicators to identify the possibility of capital chain fracture and scores the correlation degree to establish the fuzzy adjacency matrix of each indicator, and construct the FISM model to analyse it and finally draw a multi-level hierarchical directed graph. A complex system with a six-level hierarchical structure is obtained, and the relationship between the influencing factors of capital chain fracture in the financing, investment, capital management, operation management and capital recovery is obtained. Based on this, the risk path of enterprise capital chain fracture is identified and analysed. Finally, through the research and analysis of the capital chain rupture, the potential influencing factors are explored to achieve a virtuous cycle of the capital chain so that enterprises can survive and develop in an increasingly competitive market.