Trust optimization in the single web services using a neuro‌-fuzzy system

Iranian Journal of Optimization

مقاله 5، دوره 12، شماره 2، اسفند 2020، صفحه 187-201   

نوع مقاله: Research Paper

نویسندگان

baharak shakeri aski^{* 1}؛ Abolfazl Toroghi Haghighat²؛ Mehran Mohsenzadeh¹

¹Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

²Department of Computer, and IT Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

چکیده

Due to improvement of Internet, employing web services is developed. By utilizing web services, distributed applications can exchange information. Trust is a main criterion to choose the proper web service as web services selection is a main issue which is still absorbing researchers to conduct research works on this field and analyze it. Due to the significant of this problem, neuro-fuzzy system is used to optimize the trust of single web services. Eight factors such as QoS, user preferences, subjective perspectives, objective perspectives, credibility of raters, bootstrapping, dynamic computing of trust and independency are considered in the considered neuro-fuzzy system. To achieve a trust optimization, 8 membership function various neuro-fuzzy systems are considered in this paper. Ultimately, the obtained results illustrates that the root mean square error, the precision amount, the recall amount and the F score amount of the neuro-fuzzy system is: 0.0873 %, 0.986, 0.988 and 0.987.

کلیدواژه‌ها

web service؛ optimization trust؛ neuro-fuzzy system