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QoE Prediction for Multimedia Services: Comparing Fuzzy and Logic Network Approaches
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Author(s): Natalia Kushik (Tomsk State University, Russia & TELECOM SudParis, France), Jeevan Pokhrel (TELECOM SudParis, France & Montimage, France), Nina Yevtushenko (Tomsk State University, Russia), Ana Cavalli (TELECOM SudParis, France)and Wissam Mallouli (Montimage, France)
Copyright: 2015
Pages: 21
Source title:
Research Methods: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-7456-1.ch077
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Abstract
This paper is devoted to the problem of evaluating the quality of experience (QoE) for a given multimedia service based on the values of service parameters such as QoS indicators. This paper proposes to compare two self learning approaches for predicting the QoE index, namely the approach based on logic circuit learning and the approach based on fuzzy logic expert systems. Experimental results for comparing these two approaches with respect to the prediction ability and the performance are provided.
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