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A comparison of Mamdani and Sugeno fuzzy inference systems for evaluating the quality of experience of Hapto-Audio-Visual applications

机译:Mamdani和Sugeno模糊推理系统评估HAPTO - 视听应用的经验质量的比较

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Virtual reality applications which incorporate haptic devices to enrich users’ sense of touch are increasing in number. Assessing the Quality of Experience (QoE) of these applications reflects the amount of overall satisfaction and benefit gained from the application plus it lays the foundation for ideal user-centric design in the future. In this paper we build on our QoE fuzzy logic model, previously simulated and tested, by comparing results from two different and well-established fuzzy systems: Mamdani and Sugeno. The results analytically demonstrate the essential differences between the two systems and the benefits of using either one in assessing the overall QoE.
机译:包含触觉设备以丰富用户的触摸感染的虚拟现实应用程序在数量上增加。评估这些应用程序的经验质量(QoE)反映了应用程序加上的总体满意度和福利的数量,它将未来为理想的用户设计基础。在本文中,我们通过比较来自两种不同和完善的模糊系统的结果,以先前模拟和测试的QoE模糊逻辑模型建立在模拟和测试的情况下:Mamdani和Sugeno的结果。结果分析了两种系统之间的基本差异以及在评估整体QoE方面使用中的任何一种的益处。

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