the purpose of this study is to find the percentiles of fuzzy numbersand to demonstrate their applications, which include finding weightedmeans, dispersion indices, and the percentile intervals of fuzzy numbers. thecrisp approximations of fuzzy numbers introduced in this paper are new andinteresting for the comparison of fuzzy environments, such as a variety of economic,financial, and engineeri...

The presence of dispersion/variability in any process is understood and its careful monitoring may furnish the performance of any process. The interquartile range (IQR) is one of the dispersion measures based on lower and upper quartiles. For efficient monitoring of process dispersion, we have proposed auxiliary information based Shewhart-type IQR control charts (namely IQRr and IQRp charts) ba...

424  Abstract—Image denoising is one of the fundamental problems in image processing. In this paper, a novel approach to suppress noise from the image is conducted by applying the interquartile range (IQR) which is one of the statistical methods used to detect outlier effect from a dataset. A window of size kk was implemented to support IQR filter. Each pixel outside the IQR range of the kk ...

We find that imposing economic constraint on stock return forecasts based the Interquartile Range of equity premium can significantly strengthen predictive performance. Specifically, we construct a judgment mechanism truncates outliers in return. prove our approach realize more accurate information relative to unconstraint from perspective statistics and economics. In addition, new effectively ...

The Item-based Collaborative Filtering Technique is a recommendation algorithm that recommends things based on the similarity between items. This study will focus enhancing concerning diversity of recommendations. paper introduces an enhanced version in which K-Nearest Neighbors and Interquartile Range Theory was implemented, wherein this diversifies final list recommendations to user. These me...