Mamdani和Sugeno模糊推理系统在触觉-视听应用体验质量评价中的比较

A. Hamam, N. Georganas
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引用次数: 134

摘要

结合触觉设备丰富用户触觉的虚拟现实应用越来越多。评估这些应用程序的体验质量(QoE)反映了从应用程序中获得的总体满意度和收益,并且为将来理想的以用户为中心的设计奠定了基础。在本文中,我们建立了我们的QoE模糊逻辑模型,之前通过比较两个不同的和成熟的模糊系统:Mamdani和Sugeno的结果进行了模拟和测试。分析结果显示了两种系统之间的本质差异,以及使用任何一种系统在评估总体QoE时的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comparison of Mamdani and Sugeno fuzzy inference systems for evaluating the quality of experience of Hapto-Audio-Visual applications
Virtual reality applications which incorporate haptic devices to enrich userspsila 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.
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