QoE prediction for multimedia services: Comparing Fuzzy and logic network approaches

Natalia Kushik; Jeevan Pokhrel; Nina Yevtushenko; Ana Cavalli; Wissam Mallouli

doi:10.4018/978-1-4666-7456-1.ch077

QoE prediction for multimedia services: Comparing Fuzzy and logic network approaches

Natalia Kushik
, Jeevan Pokhrel
, Nina Yevtushenko
, Ana Cavalli
, Wissam Mallouli

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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.

Original language	English
Title of host publication	Research Methods
Subtitle of host publication	Concepts, Methodologies, Tools, and Applications
Publisher	IGI Global
Pages	1784-1805
Number of pages	22
Volume	4-4
ISBN (Electronic)	9781466674578
ISBN (Print)	1466674563, 9781466674561
DOIs	https://doi.org/10.4018/978-1-4666-7456-1.ch077
Publication status	Published - 31 Jan 2015

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QoE prediction for multimedia services: Comparing Fuzzy and logic network approaches

Abstract

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