Titlebook: Intelligent and Fuzzy Techniques: Smart and Innovative Solutions; Proceedings of the I Cengiz Kahraman,Sezi Cevik Onar,A. Cagri Tolga Confe

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2194-5357 making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.??.978-3-030-51155-5978-3-030-51156-2Series ISSN 2194-5357 Series E-ISSN 2194-5365

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A Hybrid Approach for Clustering and Selecting of Cloud Services Based on User Preferences Evaluatio. Finally, in the third step, we use the weights provided by the user to select the most appropriate cloud service for these requirements. To demonstrate the effectiveness of the proposed approach, a case study is presented.

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