Unascertained Measure Theory Research Articles

Optimization model of unascertained measurement for underground mining method selection and its application

An optimization model of underground mining method selection was established on the basis of the unascertained measurement theory. Considering the geologic conditions, technology, economy and safety production, ten main factors influencing the selection of mining method were taken into account, and the comprehensive evaluation index system of mining method selection was constructed. The unascertained evaluation indices corresponding to the selected factors for the actual situation were solved both qualitatively and quantitatively. New measurement standards were constructed. Then, the unascertained measurement function of each evaluation index was established. The index weights of the factors were calculated by entropy theory, and credible degree recognition criteria were established according to the unascertained measurement theory. The results of mining method evaluation were obtained using the credible degree criteria, thus the best underground mining method was determined. Furthermore, this model was employed for the comprehensive evaluation and selection of the chosen standard mining methods in Xinli Gold Mine in Sanshandao of China. The results show that the relative superiority degrees of mining methods can be calculated using the unascertained measurement optimization model, so the optimal method can be easily determined. Meanwhile, the proposed method can take into account large amount of uncertain information in mining method selection, which can provide an effective way for selecting the optimal underground mining method.

Extension and Unascertained Measure for Evaluation of Information Systems Security

Quantitative security risk evaluation of information systems is increasingly drawing more and more attention. The purpose of this paper is to propose a novel method integrated extension theory and unascertained method to classification for information systems (IS) security. The risks of information system are established on the basis of analyzing the factors affecting the risks of information system by applying the unascertained measure theory. Using matter-element theory, the extensibility of IS security is analyzed, and then the framework of matter-element models for IS security is formed. The matter element model of IS security risk evaluation is established using matter element model theory based on extension engineering method. Theoretical analysis and the design principle of the proposed method are described in detail. Some simulations are performed to demonstrate the effectiveness of the proposed extension and unascertained method. The result is believed to provide new means and ideas for the evaluation of IS security. The method is suitable for evaluating the risks of IS. Its evaluating results are reasonable. An example of practical application is given to show the effectiveness of this method. The model is more efficient than former models and can be easily realized in practice.