‎a new method for the defuzzification of fuzzy numbers is developed in this paper. it is well-known, defuzzification methods allow us to find aggregative crisp numbers or crisp set for fuzzy numbers. but different fuzzy numbers are often converted into one crisp number. in this case the loss of essential information is possible. it may result in inadequate final conclusions, for example, expert...

The manufacturing operations often involve multistage processes where the process capability of each stage is affected by the process capability of its precedent processes. This property is known as the cascade property. The purpose of this paper is to estimate the process capability of the second stage of two-stage process while the cascade property impact is removed using residuals analysis. ...

With the rapid development of deep learning, no-reference image quality assessment (NR-IQA) based on convolutional neural network (CNN) plays an important role in processing. Currently, most CNN-based NR-IQA methods focus primarily global features images while ignoring detail-rich local and channel dependencies. In fact, there are subtle differences detail between distorted reference images, as...

This work presents a boundary element method formulation for the solution of anomalous diffusion problem. By keeping fractional time derivative as it appears in governing differential equation problem, and by employing Weighted Residuals Method approach with steady state fundamental anisotropic media playing role weighting function, one obtains integral proposed formulation. The presence domain...

Abstract Evaluation of document models for text based Information retrieval is crucial for developing document models that are appropriate for specific domains. Unfortunately, current document model evaluation methods for text retrieval provide no feedback, except for an evaluation score. To improve a model, we must use trial and error. In this article, we examine how we can provide feedback in...