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Development of Fuzzy Relationships between Different Quality of Experience Parameters


Matulin, Marko; Mrvelj, Štefica
Development of Fuzzy Relationships between Different Quality of Experience Parameters // Proceedings of the 4th Research Conference In Technical Disciplines (RCITD) 2016
Slovačka, 2016. str. 9-14 doi:10.18638/rcitd.2016.4.1 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Development of Fuzzy Relationships between Different Quality of Experience Parameters

Autori
Matulin, Marko ; Mrvelj, Štefica

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 4th Research Conference In Technical Disciplines (RCITD) 2016 / - , 2016, 9-14

ISBN
978-80-554-1271-9

Skup
4th Research Conference In Technical Disciplines

Mjesto i datum
Slovačka, 17.-21.10.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Quality of Experience ; fuzzy logic ; subjective and objective parameters ; fuzzy relationships ; evaluation

Sažetak
User psycho-acoustic and visual perception of telecommunication service quality depends on a wide palette of objective and subjective parameters. This is especially relevant in the process of evaluation, assessment or prediction of user Quality of Experience (QoE) for specific service, because these processes require the revelation of the correlations between different parameters. Using the User Datagram Protocol (UDP) based video streaming service as an example, in this paper we investigate the impact of three objective parameters (the packet loss rate, the number and the duration of packet loss occurrences) on user perception by conducting subjective quality tests. We then use Fuzzy C- Means (FCM) clustering approach to cluster test subjects’ ratings as well as to define degrees of membership of each rating to specific fuzzy cluster. Based on the obtained degrees of membership, the fuzzy relationships between different objective and subjective parameters are approximated using the normal distributions.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport



POVEZANOST RADA


Ustanove
Fakultet prometnih znanosti, Zagreb

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