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Information granulation and entropy are main approaches for investigating the uncertainty of information systems, which have been widely employed in many practical domains. In this paper, information granulation and uncertainty measures for interval-valued intuitionistic fuzzy binary granular structures are addressed. First, we propose the representation of interval-valued intuitionistic fuzzy information granules and examine some operations of interval-valued intuitionistic fuzzy granular structures. Second, the interval-valued intuitionistic fuzzy information granularity is introduced to depict the distinguishment ability of an interval-valued intuitionistic fuzzy granular structure (IIFGS), which is a natural extension of fuzzy information granularity. Third, we discuss how to scale the uncertainty of an IIFGS using the extended information entropy and the uncertainty among interval-valued intuitionistic fuzzy granular structures using the expanded mutual information derived from the presented intuitionistic fuzzy information entropy. Fourth, we discovery the relationship between the developed interval-valued intuitionistic fuzzy information entropy and the intuitionistic fuzzy information granularity presented in this paper.  相似文献
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为减少业主和设计院之间的信息不对称,本文创新性地构建了一个包括设计院、设计审查院的"两院制"工程设计审计模式。基于委托代理理论对现有设计审计模式和"两院制"设计审计模式进行了博弈分析,给出了这两种模式的最优激励机制。结果发现"两院制"设计审计模式可以减少业主和设计院之间的信息不对称,但只有在审计努力水平达到一定程度后,才能提高业主收益。同时,结果表明信息不对称程度越高、工程风险越大,就越有必要采用"两院制"设计审计模式。  相似文献
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假设股价变化遵循马尔科夫转移过程,考察具有不同心态的投资者的市场行为,给出投资者心态与股价变化之间相互作用的模型,得到了股价走势的两个基本模式,并用此模型解释股价走势中的动量效应和反转效应.  相似文献
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