Kosovo- Serbia Agreements between Creative and Destructive Ambiguity Abstract:

Bashota, Bardhok; Dugolli, Bujar

doi:10.31439/unisci-52

Cited by 2 publications

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“…After normalizing the gas concentration data in the training samples and test samples with the min-max method [28,29], this paper gives different membership degrees to each group of data in the training set through fuzzy calculation and then builds a coal spontaneous combustion temperature prediction model based on combined kernel RVM to verify its effectiveness.…”

Section: Construction and Verification Of The Modelmentioning

confidence: 99%

Coal Spontaneous Combustion Temperature Prediction Based on Fuzzy Combined Kernel Relevance Vector Machine

Wang¹,

Liu

2022

Mathematical Problems in Engineering

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This paper proposes a fuzzy combined kernel relevance vector machine method for the coal spontaneous combustion temperature prediction to avoid the shortcomings of traditional machine learning algorithms, such as the large prediction error, the weak generalization ability of the single kernel function, and the inability to deal with abnormal values. First, build a platform to simulate the coal spontaneous combustion scene and obtain the data of different index gas concentrations and the coal spontaneous combustion temperature through experiments. Second, the fuzzy algorithm is used to give the training samples different membership degrees with attention, so as to reduce the influence of outliers on the model. Third, the combined kernel function weighted by the polynomial kernel function and Gaussian kernel function is used to construct the input sample matrix to map the data from the low-dimensional space to a high-dimensional space, so as to obtain a better training model. Finally, the fuzzy combined kernel relevance vector machine model is constructed and compared with methods based on the radial basis function neural network, least squares support vector machine, Gaussian kernel relevance vector machine, and combined kernel relevance vector machine to verify the effectiveness of prediction for coal spontaneous combustion temperature. The results show that the fuzzy combined kernel relevance vector machine not only has the characteristics of strong generalization ability and weakening the influence of abnormal data, but also with a more sparse model, which is suitable for the prediction of coal spontaneous combustion temperature.

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Section: Construction and Verification Of The Modelmentioning

confidence: 99%

Coal Spontaneous Combustion Temperature Prediction Based on Fuzzy Combined Kernel Relevance Vector Machine

Wang¹,

Liu

2022

Mathematical Problems in Engineering

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“…Paradoxically, with the EU calls for constructive cooperation in the spirit of normalising relations, the two sides have only deepened the differences between them [2]. Although the dialogue remains suspended, there is no initiative to build a political consensus in Kosovo with this other type.…”

Section: Literature Reviewmentioning

confidence: 99%

Kosovo-Serbia Negotiations

Rexhepi¹,

Sahiti²

2021

PoS

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Negotiations are forms of conversation, communication and bilateral or multilateral dialogue to resolve any kind of problem. Negotiations between Kosovo and Serbia are regional and global, as evidenced by the involvement of the EU and the US in these negotiations. The only way to finally resolve the problem between Kosovo and Serbia is dialogue. The purpose of the research is to analyse and measure Kosovo’s opinion on resolving the problem with Serbia through dialogue and their opinion on Kosovo’s representation in the talks and the agreement reached in Washington. The research was conducted through a questionnaire with structured questions, while a total of 470 respondents from all over Kosovo participated. Statistical analyses were analysed through the SPSS program, while qualitative ones through the inductive method. Based on the results, we see that demographic factors such as gender, age, and qualification affect the citizens of Kosovo’s citizens to solve the problem with Serbia. Part of this research was also interviewing with experts on the Kosovo-Serbia dialogue. What we can recommend from this research is that dialogue should move from technical issues to political issues because the essence of this dialogue is political. The only way to its final solution is to reach an agreement that would include its resolution of all problems. The solution can be achieved through one of the possible scenarios in this paper in the theoretical and research part.

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Kosovo- Serbia Agreements between Creative and Destructive Ambiguity Abstract:

Cited by 2 publications

References 0 publications

Coal Spontaneous Combustion Temperature Prediction Based on Fuzzy Combined Kernel Relevance Vector Machine

Coal Spontaneous Combustion Temperature Prediction Based on Fuzzy Combined Kernel Relevance Vector Machine

Kosovo-Serbia Negotiations

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