Recognizing that the evaluation of overseas petroleum investment environment is affected by many uncertain factors and there are problems with current methods, this paper proposes a mathematical model an oil resources environment, based on combination weighting uncertainty measure theory. Combining international theory characteristics industry, establishes index system for linear function each ...

We present a method to decrease the storage and communication complexity of the context-tree weighting method. This method is based on combining the estimated probability of a node in the context tree and weighted probabilities of its children in one single variable. This variable is represented by its logarithm.

In order to avoid accidents and improve the level of laboratory safety management in universities, a assessment method based on entropy weight method, analytic hierarchy process unascertained measure theory is put forward. The index system established by selecting eight indexes such as hazardous chemicals management, instrument equipment personal protective management; comprehensive determined ...

Currently, in web page classification, Absolute Weighting Method is a common method to weight HTML main structure features. The disadvantage of the method is that weighting coefficient is a fixed value, which has different effects on the long and short text. So the influence of structure features on local text will be weakened with the length of local text increasing. To solve the problem, we p...

Comprehensive evaluation of electric power quality is essential to the implementation effective control. In traditional methods, weight indicators fixed and lacks flexibility. Aiming at this problem, paper has proposed a method based on improved grey correlation method. This uses analytic hierarchy process (IAHP) calculate subjective weights introduces entropy (IEWM) that modified using variabl...

Permutation entropy (PE) has been recently suggested as a novel measure to characterize the complexity of nonlinear time series. In this paper, we propose a simple method to address some of PE's limitations, mainly its inability to differentiate between distinct patterns of a certain motif and the sensitivity of patterns close to the noise floor. The method relies on the fact that patterns may ...

Multi-Criteria Decision Making (MCDM) methods are famous approaches to structure information and decision evaluation in problems with multiple, conflicting goals. This paper proposes a fusion approach for solving the alternative selection problem. It has three advantages described as below: (1) it uses the entropy method and the ME-OWA operator to get the value of the attribute weight; (2) it u...

Large scale nonsmooth convex optimization is a common problem for a range of computational areas including machine learning and computer vision. Problems in these areas contain special domain structures and characteristics. Special treatment of such problem domains, exploiting their structures, can significantly improve the computational burden. We present a weighted Mirror Descent method to so...