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Skowron, A., Komorowski, J., Pawlak, Z. and Polkowski, L. (2002) Rough Sets Perspective on Data and Knowledge. In: Klösgen, W. and Zytkow, J.M., Eds., Handbook of Data Mining and Knowledge Discovery, Oxford University Press, New York, 134-149.

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• TITLE: Evaluation of Parameters Importance in Cloud Service Selection Using Rough Sets

  AUTHORS: Yongwen Liu, Moez Esseghir, Leila Merghem Boulahia

  KEYWORDS: Cloud Computing, Cloud Service Selection, Rough Set Theory

  JOURNAL NAME: Applied Mathematics, Vol.7 No.6, March 30, 2016

  ABSTRACT: With the rapid development of the cloud computing technology, it has matured enough for a lot of individuals and organizations to move their work into the cloud. Correspondingly, a variety of cloud services are emerging. It is a key issue to assess the cloud services in order to help the cloud users select the most suitable cloud service and the cloud providers offer this service with the highest quality. The criteria parameters defining the cloud services are complex which lead to cloud service deviation. In this paper, we propose an assessment method of parameters importance in cloud services using rough set theory. The method can effectively compute the importance of cloud services parameters and sort them. On the one hand, the calculation can be used as the credible reference when users choose their appropriate cloud services. On the other hand, it can help cloud service providers to meet user requirements and enhance the user experience. The simulation results show the effectiveness of the method and its relevance in the cloud context.