Toward a More Accurate Web Service Selection Using Modified Interval DEA Models with Undesirable Outputs

作     者：Alireza Poordavoodi Mohammad Reza Moazami Goudarzi Hamid Haj Seyyed Javadi Amir Masoud Rahmani Mohammad Izadikhah 

作者机构：Department of Computer EngineeringBorujerd BranchIslamic Azad UniversityBorujerdIran Department of MathematicsBorujerd BranchIslamic Azad UniversityBorujerdIran Department of Mathematics and Computer ScienceShahed UniversityTehranIran Department of Computer ScienceKhazar UniversityBakuAzerbaijan Department of MathematicsArak BranchIslamic Azad UniversityArakIran 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2020年第123卷第5期

页      面：525-570页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Cloud computing interval data envelopment analysis interval entropy Web service selection undesirable outputs 

摘      要：With the growing number of Web services on the internet,there is a challenge to select the best Web service which can offer more quality-of-service(QoS)values at the lowest *** challenge is the uncertainty of QoS values over time due to the unpredictable nature of the *** this paper,we modify the interval data envelopment analysis(DEA)models[Wang,Greatbanks and Yang(2005)]for QoS-aware Web service selection considering the uncertainty of QoS attributes in the presence of desirable and undesirable *** conduct a set of experiments using a synthesized dataset to show the capabilities of the proposed *** experimental results show that the correlation between the proposed models and the interval DEA models is ***,the proposed models provide almost robust results and represent more stable behavior than the interval DEA models against QoS ***,we demonstrate the usefulness of the proposed models for QoS-aware Web service *** results indicate that the proposed models significantly improve the fitness of the resultant compositions when they filter out unsatisfactory candidate services for each abstract service in the preprocessing *** models help users to select the best possible cloud service considering the dynamic internet environment and they help service providers to improve their Web services in the market.