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

Journal of Advances in Computer Research

دوره 14، شماره 3 - شماره پیاپی 53، آبان 2023، صفحه 1-19   

نوع مقاله: Original Manuscript

نویسنده

Baharak Shakeri aski^*

Department of Computer Engineering, Ramsar Branch, Islamic Azad University, Ramsar, Iran

چکیده

Abstract: 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