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

Computer Modeling in Engineering & Sciences 2020年第5期123卷 525-570页

作者： Alireza Poordavoodi Mohammad Reza Moazami Goudarzi Hamid Haj Seyyed Javadi Amir Masoud Rahmani Mohammad Izadikhah Department of Computer Engineering Borujerd BranchIslamic Azad UniversityBorujerdIran Department of Mathematics Borujerd BranchIslamic Azad UniversityBorujerdIran Department of Mathematics and Computer Science Shahed UniversityTehranIran Department of Computer Science Khazar UniversityBakuAzerbaijan Department of Mathematics Arak BranchIslamic Azad UniversityArakIran

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.

关键词： Cloud computing interval data envelopment analysis interval entropy Web service selection undesirable outputs

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Some results on quantile-based Shannon doubly truncated entropy

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Statistical Theory and Related Fields 2019年第1期3卷 59-70页

作者： Vikas Kumar Gulshan Taneja Samsher Chhoker Department of Applied Sciences UIETM.D.UniversityRohtakIndia Department of Mathematics M.D.UniversityRohtakIndia

Sunoj et al.[(2009).Characterization of life distributions using conditional expectations of doubly(Intervel)truncated random *** in Statistics–Theory and Methods,38(9),1441–1452]introduced the concept of Shannon doubly truncated entropy in the *** functions are equivalent alternatives to distribution functions in modelling and analysis of statistical *** this paper,we introduce quantile version of Shannon interval entropyfor doubly truncated random variable and investigate it for various types of univariate distribution *** have characterised certain specific lifetime distributions using the *** we discuss one fascinating practical example based on the quantile data analysis.

关键词： Quantile function interval entropy geometric vitality function characterisation

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