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Mathematical Modeling for Design Thinking Innovation Method based on Markov Chain Theory

机译:基于马尔可夫链理论的设计思维创新方法的数学建模

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摘要

A mathematical modeling based on Markov chain to determine the probability of success related to an innovation process is presented. Based on the auto-evaluation of a particular user and certain innovation stages proposed, the mathematical model allows to calculate the transition probability of each stage for any period (step) in order to enhance the resource management. The simulation results show an adequate and logical performance of the innovation process for different auto-evaluation scores in order to accelerate the innovation process without diminishing the probability of success.
机译:提出了一种基于马尔可夫链的数学模型,以确定与创新过程相关的成功概率。基于特定用户的自动评估和建议的某些创新阶段,该数学模型允许计算任何时期(步骤)中每个阶段的过渡概率,以增强资源管理。仿真结果表明,对于不同的自动评估得分,创新过程具有足够的逻辑性能,以便在不降低成功概率的情况下加快创新过程。

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