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Affective Computing Model Based on Rough Sets

机译:基于粗糙集的情感计算模型

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摘要

The paper first builds a novel affective model based on rough sets, presents the static description of affective space. Meanwhile, the paper creatively combines rough sets with Markov chain, gives the dynamic forecast of human affective change. In this affective model, some concepts and states are defined such as affective description precision and so on. It is a fundamental work to more research. Simulations are done using Matlab software, and simulation results show that this affective model can well simulate the human emotion. The results of this paper are innovative. It is a new research direction of affective computing that rough sets and affective computing infiltrate each other.
机译:本文首先基于粗糙集建立了一个新颖的情感模型,给出了情感空间的静态描述。同时,本文创造性地将粗糙集与马尔可夫链相结合,给出了人类情感变化的动态预测。在这种情感模型中,定义了一些概念和状态,例如情感描述精度等。这是进行更多研究的基础工作。使用Matlab软件进行了仿真,仿真结果表明该情感模型可以很好地仿真人的情绪。本文的结果是创新的。粗糙集和情感计算相互渗透是情感计算的新研究方向。

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