Abstract
The control of the information risk is an important task in the business administration, the information risk seriously affect the efficiency of the supply chain. This paper puts forward a model based on set pair analysis about information risk evaluation, this model can not only divide the extent of the information risk, but describe the trend of the information risk. It has realized from two aspects of static and dynamic to describe information risk.
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References
Yang HF, Lv AH, Li Q (2002) The information risk in the supply chain management and countermeasure analysis. J Beijing Technol Bus Univ (Soc Sci) 17:44–47
Drew M (2007) Information risk management and compliance—expect the unexpected. BT Technol J 25:19–29
Cheng QS (1997) Attribute sets and attribute synthetic assessment system. Syst Eng Theory Practice 9:1–8
Liu YB (1998) Max-min algorithm of fuzzy synthetic judgement is wrong. Syst Eng Theory Practice 18:80–88
Lu HQ, Wang NS, Shen FH (2001) A discus on max-min algorithm in fazzy synthetic. Syst Eng Theory Practice 21:124–128
Zhou XH, Zhang JJ (2013) Risk comprehensive evaluation method and its application based on the five-element connection number. Syst Eng Theory Practice 33:2169–2176
Zhao KQ (2005) Partial connection number, progress of artificial intelligence in China. Beijing University of Posts and Telecommunications Press, Beijing, pp 884–885
Wu T (2009) Application on the analysis of developmental trend of the student mark with five-element partial connection number. Math Practice Theory 39:53–59
Guo RL, Zhao KQ (2005) Study on the uncertainty trend and its tendency grades in similarity-difference connection degree. progress of artificial intelligence in China. Beijing University of Posts and Telecommunications Press, Beijing, pp 1423–1426
Acknowledgements
This paper is funded by National Natural Science Foundation of China (No. 71271062), and the International Exchange Program of Harbin Engineering University for Innovation-oriented Talents Cultivation.
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Gao, H. (2018). Information Risk Evaluation and Application: Based on the Set Pair Analysis. In: Li, X., Xu, X. (eds) Proceedings of the Fifth International Forum on Decision Sciences. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-10-7817-0_25
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DOI: https://doi.org/10.1007/978-981-10-7817-0_25
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