A fuzzy evaluation system for web services selection using extended QoS model

Abstract

Purpose

This paper aims to define an extended QoS model to accurately describe the quality of web service in the open distributed environment and propose a fuzzy evaluation approach for services selection based on the extended QoS model.

Design/methodology/approach

The extended QoS model classifies the quality criteria of web service as five composite quality criteria, and each composite quality criterion is composed by one or more sub‐quality criteria. Considering the multiple forms of representation for the quality criteria and different types of quality value could not be compared directly, a scaling fuzzy measure for quality criteria is introduced. Based on the scaling fuzzy measure of the quality criteria, a fuzzy synthetic evaluation system for services selection is proposed.

Findings

The quality of web service has multiple facets and multiple forms of representation. The fuzzy synthetic evaluation system can deal well with the fuzzy and implicit concepts about quality evaluations and provides higher expressive force and adaptability.

Research limitations/implications

The quality of service in this paper is static preset.

Originality/value

The extended QoS model and the synthetic fuzzy evaluation system cover the shortage of the related researches and lay the foundations for QoS‐oriented service description and services selection.

Citation

Tong, H., Cao, J., Zhang, S. and Mou, Y. (2009), "A fuzzy evaluation system for web services selection using extended QoS model", Kybernetes, Vol. 38 No. 3/4, pp. 513-521. https://doi.org/10.1108/03684920910944236