Nowadays, Barton’s Joint Roughness Coefficients (JRC) are widely used as the index for roughness and as a challenging fracture property. When JRC ranking is the goal, deriving JRC from different fractal/wavelet procedures can be conflicting. Complexity increases when various rankings outcome from different calculation methods. Therefore, using Barton’s JRC, we cannot make a decision based on th...

In text categorization, different supervised term weighting methods have been applied to improve classification performance by weighting terms with respect to different categories, for example, Information Gain, χ statistic, and Odds Ratio. From the literature there are three term ranking methods to summarize term weights of different categories for multi-class text categorization. They are Sum...

drought stress is one of the most important factors limiting the productivity of crop plants around the world. genotype-by environment (g×e) interactions are common under drought and make breeding progress difficult. for this reason twenty genotypes of bread wheat were evaluated in a randomized complete block design with 3 replications at 2 locations (stress and non-stress environments) in two ...

We presented a comparison between several feature ranking methods used on two real datasets. We considered six ranking methods that can be divided into two broad categories: statistical and entropy-based. Four supervised learning algorithms are adopted to build models, namely, IB1, Naive Bayes, C4.5 decision tree and the RBF network. We showed that the selection of ranking methods could be impo...

The purpose of this article is to introduce a new scheme for robust multivariate ranking by making use of a not so familiar notion called monotonicity. Under this scheme, as in the case of classical outward ranking, we get an increasing sequence of regions diverging away from a central region (may be a single point) as nucleus. The nuclear region may be deened as the median region.

there are several methods to ranking dmus in data envelopment analysis (dea) and candidates in voting system. this paper proposes a new two phases method based on dea’s concepts. the first phase presents an aspiration rank for each candidate and second phase propose final ranking.

The problem of identifying key genes that are involved in a particular disease is of fundamental importance in biology and medicine. Given the increasing availability of a variety of gene-related biological data sources, ranging from microarray expression data to protein-protein interaction data, a promising approach is to use bioinformatics methods that can analyze this data and rank genes bas...

Ranking is a ubiquitous requirement whenever we confront a large collection of atomic or interrelated artifacts. This paper elaborates on this issue for the case of RDF schemas. Specifically, several metrics for evaluating automatic methods for ranking schema elements are proposed and discussed. Subsequently the creation of a test collection for evaluating such methods is described, upon which ...