信息不对称情况下的直觉模糊软集决策方法及其应用

A Method of Decision Making Based on Intuitionistic Fuzzy Soft Sets and Its Applications for Enterprise's Decisions under Asymmetric Information

将非充分信息情况下的决策问题用直觉模糊软集来表述,从信息融合的视角,结合灰色关联分析和D-S证据理论,提出一种直觉模糊软集决策方法,并给出了在企业经营决策中的应用实例,该实例表明,在信息不对称情况下,此方法可显著降低决策的不确定性、提高决策可信度。

Under the hyper competition environment,enterprise's response to market information is often not sufficient under asymmetric information.Based on this fact,this paper describes decision making problems under the condition of full information with intuitionistic fuzzy soft sets.Combining with grey relation analysis and D-S evidence theory,a method of decision making based on intuitionistic fuzzy soft sets is proposed in the view of information fusion.Moreover,an application example on enterprise's decisions under asymmetric information is given.This example illustrates that this method can significantly reduce the uncertainty of decision making and improve the reliability of decision making.