Development of Novel Robust Reputation Evaluation Method for Dynamic Federation of Clouds
Social and Basic Sciences Research Review
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Title |
Development of Novel Robust Reputation Evaluation Method for Dynamic Federation of Clouds
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Creator |
Alguliyev, Rasim
Abdullayeva, Fargana |
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Subject |
collaborative decision making, intelligent agent, reputation, dynamic federation, confederation,
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Description |
In the presented paper, a new fuzzy collaborative IntRep hybrid reputation model based on intellectual agents is proposed for dynamic cloud federalization. The model construction is carried out in three stages. In the first stage, the assessment of an entity is conducted based on the particular criteria set using the intellectual agents. Although intellectual agents use the same criteria; as they generate different opinions for the solution of the same problem, in the second stage fuzzy opinions are formulated by applying fuzzification method to provide their participation of all different opinions in the evaluation process. In the third stage, a single opinion is formulated by aggregating those fuzzy opinions using the optimization and defuzzification methods and. Based on the specified opinion, the identification provider is classified as either trustworthy or malicious. For the purpose of verification of authenticity of the method, numerical calculations based on data provided by three multi-agents are illustrated. The calculations carried out during the experimental verification of the proposed method are conducted using Matlab software package.
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Publisher |
Academy of Business & Scientific Research (ABSR)
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Date |
2016-02-01
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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Format |
application/pdf
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Identifier |
http://absronline.org/journals/index.php/sbsrr/article/view/624
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Source |
Social and Basic Sciences Research Review; Vol 4 No 2 (2016): February; 56-62
2313-6758 |
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Language |
eng
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Relation |
http://absronline.org/journals/index.php/sbsrr/article/view/624/644
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Rights |
Copyright (c) 2016 Social and Basic Sciences Research Review
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