Hybrid QoS-Aware Web Service Composition Strategies for Group Pareto Optimal Plan

Abstract

Group-oriented service composition is still challenging for big group and personalized QoS requirements. Therefore, this paper presents a Hybrid QoS-aware Web Service Composition Strategies for Group Pareto Optimal Plan (HOWSCS_GGOP) based on multi-attribute group decision making (MAGDM) theory. It includes five main steps: calculating group preference, clustering weighted cluster weights, constructing cluster weighted normalized decision-making matrix, determining the ideal solution, and evaluating alternatives for group synthetically. In addition, a hybrid Web service QoS model is introduced to describe QoS values with real numbers, interval numbers, triangular fuzzy numbers and intuitionistic fuzzy numbers. Experimental results show that the proposed algorithm can well solve the problem of Web service composition for big group and personalized QoS requirements.