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In the eutrophication evaluation, the uncertainty of evaluation level is the main problem. This process also refers to many factors which have different effect on result. Multi-dimensional normal cloud is a system model which can describe the uncertainty and fuzzy feature. This model involves the factor weight. In our paper, the weight is determined by AHP, CRITIC and information entropy which are...
Danger Theory is a method of biological immunology. It presents an effective method to reduce false positive and improve the efficiency of AIS. Cloud model is an effective tool to transform qualitative concepts into quantitative expressions for uncertain problems. Change is potential causes of system imbalance, and is the basis and sample for danger analysis. This paper uses the concept of Cloud model...
Equipment maintainability evaluation is to assess the level of equipment maintenance and in used, building the weapon system maintainability evaluation index system, the use of cloud model's uncertainty reasoning algorithm to conversion in qualitative language quantitative, the results of the maintainability comprehensive evaluation is described qualitative in use of cloud images or cloud droplet...
Because matter-element theory's shortcoming in ignoring the uncertainty of boundary values when setting up a fault diagnosis model, the diagnosing results are deviated from the actual situation. Considering cloud model theory can be applied to represent the uncertainty of the boundary, we combine cloud model theory with matter-element to propose a new diagnosing model. Meanwhile, by using data such...
Cloud model delivers uncertainty conversion between qualitative and quantitative. Easy to reveal the uncertainty of universal law in sports field. Using cloud for analysis of students' physical condition, it is intuitive and flexible, easy to reveal small area data, features and so on.
In order to evaluate complex system in selection of aircraft scheme, the evaluation method based on cloud model was utilized. This paper analyzed the evaluation steps based cloud model. Because of imprecision in judgment from cloud model figure in past, the measurement method of cloud comparability was introduced to judge which rating the evaluation result belongs to. Finally, the application in the...
Bow action usually expresses human respect intention. The process of human bow is companied with fuzziness and randomness. Current control methods for virtual human's bow cannot describe the uncertainties. A cloud model based method is proposed to control virtual human's bow action. The method can describe the two uncertainties in the process of bow indicating respect intention. Clouds of maximal...
In this paper, taking the survivability of trusted network as the background, the key issues of network survivability are analyzed. Taking account of the uncertainty, randomness of network system, by introducing cloud model and deterministic finite automation, the status of network system is described and detected in this paper. Based on cloud model, this paper proposes the network system status's...
The current Black-Scholes option pricing model is based on the assumption that prices of assets such as stocks subject to ITO (continuous Markov process). However, the value of assets for project may not always meet this assumption. Therefore there is subjectivity and arbitrariness. Cloud model can reflect the associative characteristics of fuzziness and randomness. The reverse cloud generator algorithm...
The sensitivity of sensitive equipment to voltage sags depends on the characteristics of voltage sag on the power supply site and the voltage tolerance of equipment. It is multi-uncertain including stochastic and fuzzy. Cloud model is used to present the sensitivity of equipment in this paper. The direct normal cloud generator was used to translate the qualitative distribution of VTC into quantitative...
User behavior is the trace or proof of the user's impact on the environment when he tries to acquire some information or complete a job in a particular environment. Cross-sectional study of user behavior focuses on the deviation between the individual behavior and the group behavior. From this perspective, we propose a statistical user-behavior trust evaluation algorithm based on cloud model for statistics-based...
During the evaluation of multi-source information system, uncertainty exists widely. In order to use and process the uncertainty and improve the creditability of system evaluation, this paper based on the cloud theory, studied the mapping method between nature variable and quantity variable. At the same time, the paper promoted a novel evaluation method of system performance based on the cloud theory...
Trust evaluation model based on inherent vector and cloud model is advanced in open network. The concept of inherent vector of trust is put forward as the core of this model. Inherent trust degree is acquired on the basis of inherent trust vector. Forward and reverse algorithms of n dimensions trust cloud model is proposed to map between qualitative concepts and quantitative expressions. The numeral...
Cloud model can be used for reliability evaluation when the working condition is changeable and described by the qualitative linguistic values. It is neglected that the most typical sample in cloud model also contains some uncertainty when evaluate the reliability of products using cloud model. For this reason, a cloud model is used to describe the uncertainty of the most typical sample. The experimental...
There are three types of web service QoS criterion weight: subjective weight decided by user's preference of QoS criterion, objective weight affected by QoS criterion value and synthetic weight synthesized with the two. Considering the uncertainty of conversion from qualitative value, which is used to describe user's preference, to quantitative value, the uncertainty of subjective weight is described...
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...
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...
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