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QoE Prediction for Multimedia Services: Comparing Fuzzy and Logic Network Approaches

QoE Prediction for Multimedia Services: Comparing Fuzzy and Logic Network Approaches

Natalia Kushik, Jeevan Pokhrel, Nina Yevtushenko, Ana Cavalli, Wissam Mallouli
Copyright: © 2014 |Volume: 4 |Issue: 3 |Pages: 21
ISSN: 1947-9344|EISSN: 1947-9352|EISBN13: 9781466655911|DOI: 10.4018/ijoci.2014070103
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MLA

Kushik, Natalia, et al. "QoE Prediction for Multimedia Services: Comparing Fuzzy and Logic Network Approaches." IJOCI vol.4, no.3 2014: pp.44-64. http://doi.org/10.4018/ijoci.2014070103

APA

Kushik, N., Pokhrel, J., Yevtushenko, N., Cavalli, A., & Mallouli, W. (2014). QoE Prediction for Multimedia Services: Comparing Fuzzy and Logic Network Approaches. International Journal of Organizational and Collective Intelligence (IJOCI), 4(3), 44-64. http://doi.org/10.4018/ijoci.2014070103

Chicago

Kushik, Natalia, et al. "QoE Prediction for Multimedia Services: Comparing Fuzzy and Logic Network Approaches," International Journal of Organizational and Collective Intelligence (IJOCI) 4, no.3: 44-64. http://doi.org/10.4018/ijoci.2014070103

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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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