التفاصيل البيبلوغرافية
| العنوان: |
QUALITATIVE QOE ASSESSMENT WHEN CHOOSING A WEB SERVICE USING AN EXPERT HYBRID SYSTEM. |
| المؤلفون: |
Vovk, V. G., Pelekh, P. R. |
| المصدر: |
Electronics & Control Systems; 2024, Vol. 80 Issue 2, p84-93, 10p |
| مصطلحات موضوعية: |
ARTIFICIAL intelligence, FUZZY expert systems, HYBRID systems, SET theory, INTEGRATED software |
| مستخلص: |
In the article proposes a new method, based on a hybrid fuzzy expert system, for assessing the QoE of web services. It also shows how different QoS parameters affect QoE. To do this, a subjective test was conducted in a controlled environment with real users to correlate QoS parameters with a subjective QoE score. Based on the test results, affiliation functions and rules for the fuzzy system were obtained. The membership function is derived using a probabilistic approach, and the derivation rules are generated using fuzzy set theory. The evaluation of the results was carried out in a simulation environment using the Matlab software package. The results of the simulation show that the quality of the website is rated and has a high correlation with the subjective quality assessment received from the participants of the control test. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
