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For random deployment in sensor networks, there exists uneven node density, seriously reducing the network performance after clustering. The idea of the power control in CDMA is applied to handle the communication coverage control for clusters in wireless sensor networks. The cloud model-based uncertainty reasoning and control mechanism are introduced to adjust the transmit power adaptively to keep...
Cloud model is an effective tool in uncertain transforming between qualitative concepts and their quantitative expressions. In this paper, we introduce a new optimization method inspired from cloud model theory. The innovations of the algorithm are the estimation of good solution regions and new solution production according to the cloud model theory. First, the algorithm uses information obtained...
The complex network model is the research foundation of complex network, so it is important to evaluate and select model objectively .There is no effective evaluation way up to now. An evaluating method using cloud model is proposed to decrease randomness and fuzziness existing in conventional evaluation. The results of simulating experiments prove that such uncertainty is solved well.
This paper addresses the decision trees induction with uncertain data. In other words, it presents a novel method, called uncertain decision trees (UDT) to handle the uncertainty during the process of inducing decision trees. Here, uncertainty is depicted via cloud model theory, a quantitative-qualitative transforming model with uncertainty, which can well integrate the fuzziness and randomness of...
Various disasters have happened continually, and lead to massive loss to the people, loss assessment has become a critical role in alleviating disaster and defending disaster. But uncertainty is often found in disaster loss assessment, due to reasons such as imprecise measurement, outdated sources, or sampling errors. And a nationally consistent approach is absent in disaster loss assessment. In order...
In this paper, taking the survivability of trusted network as the background, the key issues of network survivability are researched. Taking into account the uncertainty, randomness of network services, by introducing cloud model, the status of network service is described in this paper. Based on cloud model, this paper proposes the strategy of status detection for network service, the evaluation...
Because there are lots of random and fuzzy uncertainty factors in power system, the certainty model used to be adopted in reliability research were not reasonable. But cloud models theory is a powerful tool to convert numerical quantitative analysis to conceptual qualitative analysis. In this paper on the basis of introduction of cloud models, the parameter and load cloud models in actual operation...
The volume of data with a few uncertainties overwhelms classic information systems in the distribution control center and exacerbates the existing knowledge acquisition process of expert systems. To deal with the uncertainty and deferent structures of the system, rough sets and cloud theorem are introduced and the rough-cloud sets are proposed. The reduction algorithm based on them is improved. By...
For the aim of improving the simulation ability of neural network and being able to reflect the randomness, fuzziness and the relevance between the two existed in the real world, a new algorithm-cloud neural network (CNN) based on cloud transformation is presented in this paper. And the parameter adjustment method of CNN is given. The CNN based on cloud transformation could be used in the nonlinear...
This paper introduces a new method-the cloud model theory for the fMRI image processing which aims at the uncertainty of the fMRI image data and the flaws of the current medical image segmentation algorithm. The method takes full account of the uncertainty of fMRI data, through the production cloud, the cloud synthesis as well as the category determination, can be effective to carry on the classification...
The cloud model can combine randomicity with ambiguity, and realize the transform between quality and quantity. This paper analyzed the cloud model, focused on the normal cloud and its digital characters, provided a method for evaluating system effectiveness based on cloud model, implementing the transform between qualitative evaluation and quantitative numerical value. Meanwhile the evaluating target...
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