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논문검색

The Risk Assessment Method based on Multi-Attribute Fuzzy Decision-Making in the Application of the Internal Control

원문정보

초록

영어

Under the background of global economic integration, with international competition between enterprises increasing, the risks are more diverse. Financial crisis has led to many companies became the victim of the financial crisis era. Chinese enterprises want to survive and develop healthy in the fierce competition, they must enhance the competitiveness of enterprises, improve themselves from the inside, strengthen enterprise management, establish the perfect internal control system, find a suitable internal control and risk management system for our enterprises, identify and measure enterprise in the face of internal and external risks in order to improve competition ability of enterprise, realize the value of the enterprise has become the current most urgent task of enterprise. So enterprises need to establish the risk assessment system to ensure that enterprises find risk timely, and take corresponding measures. This paper establishes the network marketing performance evaluation index system followed the principles of "scientific, objective, systematic, feasibility and stability". Then use interval-valued intuitionistic fuzzy sets generalized mixed weighted aggregation operator to calculate the evaluation value. The reason of this paper use interval-valued intuitionistic fuzzy sets is some index value is not necessarily a certain number in real life, the interval-valued intuitionistic fuzzy sets can describe some parameter values in greater detail; The generalized mixed weighted aggregation operator is used to calculate the risk evaluation value of various enterprises, then compare the evaluation value and put forward the corresponding strategy. Finally, enumerating instances to validate the method adopted by this paper used in the enterprise risk evaluation is feasible and effective.

목차

Abstract
 1. Introduction
 2. Establish Enterprise Risk Evaluation Index System
 3. Interval-Valued Intuitionistic Fuzzy Sets
 4. Model based on Interval-Valued Intuitionistic Fuzzy SetsGeneralized Mixed Weighted Aggregation Operator
 5. Empirical Analysis
 6. Conclusion
 References

저자정보

  • Jiamin Fang Branch of Accounting, Jilin Business and Technology College, Changchun 130062, PR China

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