英文标题
Complexity Measurement of Automobile Manufacturing Industry NetworkEnvironment Based on Fuzzy Evidential Reasoning
英文摘要
The complexity of the environmental is the main cause of the complexity of automobile manufacturing industry network.With the thought to measure the complexity through the environmental index volatility, the indicator system of the automobile manufacturing industry network environment and the fuzzy belief structure model for measuring the volatility degree are established, the multiple indexes of environment complexity are transformed into fuzzy belief structures using the fuzzy evidential reasoning algorithm combining the entropy value theory, and then the results of environment complexity of automobile manufacturing industry network are evaluated by grey relational analysis method.Through the empirical research on the data of 2002~2012 in the automotive industry, the results show that the fluctuations of economic environment and international environment are the main factors leading to the complexity of automobile manufacturing industry network, followed by the technical environment and market environment.Over the past 10 years of China＇＇s automobile manufacturing industry, network environment has experienced two large fluctuations, and overall complexity presents a growth trend.This study can provide a reference for complexity measure and control of automotive industry environment.
翻译关键词
entropy evaluation method
fuzzy evidential reasoning
complexity
automobile manufacturing industry network
获取号
WF:perioarticalycygl201702023
