Since big data sets are structurally complex, high-dimensional, and their attributes exhibit some redundant irrelevant information, the selection, evaluation, combination of those large-scale pose huge challenges to traditional methods. Fuzzy rough have emerged as a powerful vehicle deal with uncertain fuzzy in problems that involve very large number variables be analyzed short time. In order f...

A number of approaches have been proposed to determine the weights for multiple attribute decision making. However, resultant are usually assumed be fixed, making it lack tolerance accommodate variation if patterns subsequent data subject change. This article proposes a method facilitate adjustment weights, which accommodates relevant characteristics. model is first constructed that able expres...

Most of data in a multi attribute decision making (MADM) problem are unstable and changeable, and thus sensitivity analysis can effectively contribute to making proper decisions. Here, we offer a new method for sensitivity analysis of multi-attribute decision making problems so that by changing one element of decision making matrix, we can determine changes in the results of a decision making p...

Background Between 1990 and 2015, under-5 mortality rate (U5MR) declined by 53%, from an estimated rate of 91 deaths per 1000 live births to 43, globally. The aim of this study was to determine the share of health research systems in this decrease alongside other influential factors.   Methods We used random effect regression models including the ‘random intercept’ and ‘random intercept and ran...

This research examines how consumer preferences for products are affected by attribute resemblance, which refers to the degree a product is similar with other that being evaluated together. It expected influence of resemblance on attitude and choice moderated familiarity, tested in three empirical studies. Studies 1 2 examine effects toward show positive stronger when less (vs. more) familiar. ...

With the continuous development of social software and multimedia technology, images have become a kind important carrier for spreading information socializing. How to evaluate an image comprehensively has focus recent researches. The traditional aesthetic assessment methods often adopt single numerical overall scores, which certain subjectivity can no longer meet higher requirements. In this a...