A Comparison of Mamdani and Sugeno Fuzzy Inference Systems for Evaluating the Quality of Experience of Hapto-Audio-Visual Applications

被引：68

作者：

Hamam, Abdelwahab ^{[1
]}

Georganas, Nicolas D. ^{[1
]}

机构：

[1] Univ Ottawa, Sch Informat Technol & Engn, Distributed & Collaborat Virtual Environm Res Lab, Ottawa, ON, Canada

来源：

2008 IEEE INTERNATIONAL WORKSHOP ON HAPTIC AUDIO VISUAL ENVIRONMENTS AND THEIR APPLICATIONS | 2008年

关键词：

Quality of Experience; Human-Computer Interaction; Virtual Reality Applications; Haptics; Fuzzy Inference System; Sugeno; Mamdani;

D O I：

10.1109/HAVE.2008.4685304

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Virtual reality applications which incorporate haptic devices to enrich users' sense of touch are increasing in number. Assessing the Qualitv 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.

引用

页码：87 / 92

页数：6

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