‎in this paper, we present a two-stage model for ranking of decision making units (dmus) using interval analytic hierarchy process (ahp). since the efficiency score of unity is assigned to the efficient units, we evaluate the efficiency of each dmu by basic dea models and calculate the weights of the criteria using proposed model. in the first stage, the proposed model evaluates decision making...

The contamination of ores with wastes or materials of lower than the cut-off grade is referred to as dilution. Dilution is an undesirable phenomenon that, on one hand, reduces the product grade and, consequently, reduces the sales prices and, on the other hand, adds an extra cost to waste production. Therefore, studying and evaluating the dilution risk is important in mining, and especially in ...

RNA-sequencing is rapidly becoming the method of choice for studying the full complexity of transcriptomes, however with increasing dimensionality, accurate gene ranking is becoming increasingly challenging. This paper proposes an accurate and sensitive gene ranking method that implements discriminant non-negative matrix factorization (DNMF) for RNA-seq data. To the best of our knowledge, this ...

1 Introduction A central problem of language learnability is the learning of restrictive grammars, grammars that generate all the observed forms but as few others as possible. Given only positive evidence, there are many grammars consistent with the observed data, and the learner must select the most restrictive grammar among these. If the learner mistakenly adopts a broader grammar, no positiv...

This paper aims to develop and introduce a fuzzy Interval based Multi-criteria homogeneous Group Decision making technique (IMGD) make appropriate decision under environment. In multi-criteria group process, of makers often considers several subjective criteria for ranking set alternatives. Due vague imprecise information, generally utilize linguistic variables which are mandatorily converted i...

In this paper, we are interested in the label ranking problem. We are more specifically interested in the recent trend consisting in predicting partial but more accurate (i.e., making less incorrect statements) orders rather than complete ones. To do so, we propose a ranking method based on pairwise imprecise scores obtained from likelihood functions. We discuss how such imprecise scores can be...

A vertex k-ranking of a simple graph is a coloring of its vertices with k colors in such a way that each path connecting two vertices of the same color contains a vertex with a bigger color. Consider the minimum vertex ranking spanning tree (MVRST) problem where the goal is to find a spanning tree of a given graph G which has a vertex ranking using the minimal number of colors over vertex ranki...

As an essential part of modern intelligent decision-making science, multi-attribute problems can effectively select and rank all candidate schemes under multiple indicators. Because the complexity real environment uncertainty problem, interval numbers are often used to represent evaluation information object. The existing methods rarely use object set but give decision results by selection or r...