Application of Cloud Model and Bayesian Network to Piracy Risk Assessment

Liu, Kefeng; Yang, Lizhi; Li, Ming

doi:10.1155/2021/6610339

Cited by 9 publications

(8 citation statements)

References 22 publications

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“…Considering that most of the coal mine time series are oscillation series, and the concept sets of each particle layer are generally non-monotonic series after time granulation [9], the random oscillation characteristics should be fully taken into account when constructing multi-granularity prediction model. In the processing of random sequence, the traditional grey prediction model [10], such as GM(1,1), has poor accuracy in predicting coal mine random oscillation series.…”

Section: Multi-granularity Time-varying Cloud Modellingmentioning

confidence: 99%

Multi-granularity coal mine risk conceptual prediction based on time-varying cloud model

Dai

Zhang

2023

International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023)

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The big data of coal mine was characterized by large scale, many influencing factors and weak correlation. The existing big data mining based on quantitative data analysis usually adopts fixed framework processing, which is easy to fall into the dilemma of overfitting and cannot acquire elastic knowledge across layers. From the perspective of coal mine monitoring and management, a multi-granularity time-varying cloud model is proposed based on a multi-granularity semantic transformation model and a grey prediction model to achieve the conceptual prediction of coal mine gas concentration risk. The new model first converts the gas concentration data into semantic concepts using a semantic transformation model, then processes the sequence of semantic concept sets for randomness and oscillation, and builds a grey prediction model for them, which is used to project future semantic concepts. The new model is compared with the existing model, and the experimental results show that the new method can not only predict coal mine risk concepts at different granularities, but also has high prediction accuracy.

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Section: Multi-granularity Time-varying Cloud Modellingmentioning

confidence: 99%

Multi-granularity coal mine risk conceptual prediction based on time-varying cloud model

Dai

Zhang

2023

International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023)

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“…Cloud generation algorithms can be cured into hardware and software implementations, called cloud generator [29,30].…”

Section: Cloud Model Eorymentioning

confidence: 99%

Impact Evaluation of Prefabricated Buildings Cost on Game Theory‐Cloud Model

Fan

2022

Journal of Mathematics

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Prefabricated buildings have the advantages of energy-saving, high efficiency, and high quality, which is energetically promoted in China’s construction industry. But the prefabricated buildings’ high construction cost hinders their rapid development. Around the higher construction cost of prefabricated buildings, this paper starts with the full life cycle of prefabricated buildings and selects four stages: design, component production, transportation, and construction. And constructs the evaluation index system of influencing factors of the prefabricated buildings cost. Based on this, this paper proposes an evaluation framework based on the game theory-cloud model to evaluate the influencing factors of prefabricated buildings costs. Taking a prefabricated building in Tianjin as the research object, the game theory combinatorial empowerment method and cloud model are used to evaluate the impact effect of prefabricated buildings cost. Game theory is used to optimize the subjective and objective weights determined by the attribute hierarchy model and the entropy weight method and to confirm the comprehensive weight of the evaluation index. The index’s weight is scientific and accurate, and the subjective influence of a single process is avoided or does not conform to the actual situation and so on. The cloud model is used to evaluate the cost impact of prefabricated buildings comprehensively. The experimental results show that the model is feasible; the scientific and accurate evaluation results are improved; and the model is simple to operate and has some reference value.

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“…The cloud model was proposed by Li D.Y. [34]. This method refers to the uncertainty transformation model between a qualitative concept and quantitative expression.…”

Section: Cloud Model For Subjective Weightsmentioning

confidence: 99%

Evaluation of Provincial Carbon Neutrality Capacity of China Based on Combined Weight and Improved TOPSIS Model

Niu

et al. 2021

Sustainability

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It will be a huge challenge for China to achieve carbon neutrality by 2060. At present, China needs to understand its own carbon neutrality status and then scientifically plan a path to achieve carbon neutrality. In order to evaluate the carbon neutrality capacity of China’s provinces, this paper firstly constructs an evaluation indicator system, which includes 20 indicators at six levels. Then, a combination of subjective and objective weighting methods, as well as an improved technique for order preference by similarity to an ideal solution (TOPSIS) model, are used to calculate evaluation results. On this basis, the reasons for their different carbon neutrality capacities are analyzed. The results show that the use of renewable energy, maintaining ecological environmental quality, and low-carbon technology are important factors affecting China’s carbon neutrality capacity, and according to the evaluation results, China’s provinces are divided into three categories. Finally, corresponding suggestions for speeding up the pace of carbon neutrality are put forward.

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Application of Cloud Model and Bayesian Network to Piracy Risk Assessment

Cited by 9 publications

References 22 publications

Multi-granularity coal mine risk conceptual prediction based on time-varying cloud model

Multi-granularity coal mine risk conceptual prediction based on time-varying cloud model

Impact Evaluation of Prefabricated Buildings Cost on Game Theory‐Cloud Model

Evaluation of Provincial Carbon Neutrality Capacity of China Based on Combined Weight and Improved TOPSIS Model

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