The main purpose of This research ptovide asuitable model for financial risk management in the automotive industry using fuzzynetwork analysis process. In this study 13 variables from the identified variables were approvedby experts and specialists. The statistical popu More
The main purpose of This research ptovide asuitable model for financial risk management in the automotive industry using fuzzynetwork analysis process. In this study 13 variables from the identified variables were approvedby experts and specialists. The statistical population of the present study is the managers and specialists of irankhodro and saipa companies. The tools used in this study to collect data and in formation through a questionnaire and the opinions of experts and experts in the automotive industry have been used. The community of experts consists of 25 experts and the technique of fuzzy network analysis process has been used to analyze the data. Bby analyzing the data in the fuzzy network analysis process technique, it was found thet among the 13 identified variables affecting financial risk in the automotive in dusstry,liquidity risk is the criterion . which is the most effective among financial risks and is in the first place and has the highest priority. And bel0w the criterion of forecasting market demand and structural changes in the econpmy and the complex competition of domestic markets, respective ,have the highest priority.
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